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Academic literature on the topic 'Face log'

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Published: 10 March 2023

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Journal articles on the topic "Face log"

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CHEN, XUERONG, and ZHONGLIANG JING. "INFRARED FACE RECOGNITION BASED ON LOG-GABOR WAVELETS." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 03 (May 2006): 351–60. http://dx.doi.org/10.1142/s0218001406004703.

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Despite the variety of approaches and tools studied, face recognition is not accurate or robust enough to be used in uncontrolled environments. Recently, infrared (IR) imagery of human faces is considered as a promising alternative to visible imagery. IR face recognition is a biometric which offers the security of fingerprints with the convenience of face recognition. However, IR has its own limitations. The presence of eyeglasses has more influence on IR than visible imagery. In this paper, a method based on Log-Gabor wavelets for IR face recognition is proposed. The method first derives a Log-Gabor feature vector from IR face image, then obtains the independent Log-Gabor features by using independent component analysis (ICA). Experimental results show that the proposed method works well, even in challenging situations.
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Li, Jing, Nong Sang, and Changxin Gao. "Log-Gabor Weber descriptor for face recognition." Journal of Electronic Imaging 24, no. 5 (September 21, 2015): 053014. http://dx.doi.org/10.1117/1.jei.24.5.053014.

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Omae, Yuto, Kazutaka Mizukoshi, Tatsuro Furuya, Takayuki Oshima, Norihisa Sakakibara, Yoshiaki Mizuochi, Kazuhiro Yatsushiro, Masaya Matsushita, and Hirotaka Takahashi. "Intelligent Edutab Box: Supporting Real-Time Face-to-Face Collaborative Learning." Journal of Advanced Computational Intelligence and Intelligent Informatics 25, no. 2 (March 20, 2021): 258–69. http://dx.doi.org/10.20965/jaciii.2021.p0258.

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Educational benefits of collaborative learning have been demonstrated in several studies and various systems have been developed to date. Numerous efforts have been made to enhance these benefits by supporting collaborative learning with information and communications technology. These efforts have primarily involved support for constructing collaborative learning groups, for collaborative learning in e-learning environments, and for collaborative learning analysis. This study aims to develop a computer-supported collaborative learning system that supports instructors in real time to facilitate collaborative learning in a face-to-face environment with multiple learners at the same time to provide enhanced support. Both the learner and instructor have one tablet terminal and conduct collaborative learning in a single classroom. Herein, the learner can use the tablet to save an educational log and freely browse the educational log of another learner. By referencing the educational logs, learners can learn through face-to-face communication. Additionally, the instructor can determine (1) who is viewing whose educational log and to what extent and (2) which learner is struggling to achieve targets. Herein, an overview of the proposed system is provided and the results obtained using the proposed system are reported to evaluate its effectiveness.
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Yu, Qing Wen, Hong Wang, Hai Bin Zhao, Chong Liu, and Shi Yu Yan. "A Face Detection Method Based on Log-Gabor Filters." Advanced Materials Research 706-708 (June 2013): 1882–85. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1882.

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This paper introduces an effective face detection method based on log-Gabor filters. First, Information contained in the log-Gabor transformations is analyzed. Next, 5-scale and 8-orientation log-Gabor filters are constructed to extract feature vectors. Then, a three-layer feedforward network is created for feature classification. After training the network, we test 80 samples. From the experimental result, log-Gabor filters based method has comparable detection performance with Gabor filters based method. Therefore, log-Gabor filters can encode the images more efficiently.
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Bin Amir, Adam, Farrah Aini Dahalan, Lutfiah Anjarwati, and Wildan R. Kurniawan. "Assessment of microbiological growth on surgical face mask." Environmental and Toxicology Management 2, no. 3 (December 20, 2022): 6–9. http://dx.doi.org/10.33086/etm.v2i3.3557.

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Wearing surgical face masks for a long time has a number of physiologic and psychological consequences, as well as the potential to reduce work efficiency. Physical side effects of long-term usage of surgical masks include headaches, trouble breathing, acne, skin breakdown, rashes, and reduced memory. It also obstructs eyesight, communication, and thermal balance. The objective of this research was to investigate the effects of bacteria growth and type of bacteria morphology present on the face mask. Serial dilutions were used to calculate the concentration of microorganisms. As it would usually be impossible to actually count the number of microorganisms in a sample, the sample was diluted and plated to get a reasonable number of colonies to count. Since the dilution factor was known, the number of microorganisms Log CFU per mL was calculated. The CFU count results clarify the growth curve pattern of bacteria formed on agar plate surfaces and revealed some details of bacterial life after their adhesion onto surfaces in the presence of agar. This growth curve exhibited distinct phases: the lag phases, the exponential (log) phases, the stagnant phases and the dead phases. Gram staining and hanging drop method was used to identify the gram positive, gram negative and the bacteria morphology. This study provides insightful on the investigation of bacteria present on surgical face masks which is little available in literature.
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Ryali, Chaitanya K., Stanny Goffin, Piotr Winkielman, and Angela J. Yu. "From likely to likable: The role of statistical typicality in human social assessment of faces." Proceedings of the National Academy of Sciences 117, no. 47 (November 23, 2020): 29371–80. http://dx.doi.org/10.1073/pnas.1912343117.

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Humans readily form social impressions, such as attractiveness and trustworthiness, from a stranger’s facial features. Understanding the provenance of these impressions has clear scientific importance and societal implications. Motivated by the efficient coding hypothesis of brain representation, as well as Claude Shannon’s theoretical result that maximally efficient representational systems assign shorter codes to statistically more typical data (quantified as log likelihood), we suggest that social “liking” of faces increases with statistical typicality. Combining human behavioral data and computational modeling, we show that perceived attractiveness, trustworthiness, dominance, and valence of a face image linearly increase with its statistical typicality (log likelihood). We also show that statistical typicality can at least partially explain the role of symmetry in attractiveness perception. Additionally, by assuming that the brain focuses on a task-relevant subset of facial features and assessing log likelihood of a face using those features, our model can explain the “ugliness-in-averageness” effect found in social psychology, whereby otherwise attractive, intercategory faces diminish in attractiveness during a categorization task.
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Lee, Sue Hyun. "An Action Research for Development of ‘Field Research-based Marketing Strategy Formulating Practice Program’: Focusing on face-to-face/non-face-to-face PBL classes." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 24 (December 31, 2022): 439–64. http://dx.doi.org/10.22251/jlcci.2022.22.24.439.

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Objectives The purpose of this study is to develop the practice program of ‘Establishment of marketing strategy based on field research’ for the face-to-face and non-face-to-face ｢Principles of Marketing｣ PBL classes, respectively. Methods After developing a practice program according to the meaningful learning experience-oriented course design method, it was operated for 4 years (2 years of face-to-face class, 2 years of non-face-to-face class), and has been improved through action research. The researcher's participant observation log (reflection diary), student's learning log and interview data were analyzed using content analysis methods. Causal chains analysis and class structure analysis were also applied. Results The practice program used two linked PBL modules: From the perspective of a company, each team 1) finds consumer pain points based on field research results and 2) establishes marketing strategies that can resolve/improve them. The face-to-face class program focused on problem-solving practice based on field research data. The non-face-to-face class program was structured around the use of CIT (critical Incident Technique) and mini-survey in connection with ZOOM-based interviews instead of participant observation. In the final non- face-to-face ｢Principles of Marketing｣ class to which this method was applied, the result of the lecture evaluation portrayed a high satisfaction level (98.8/100 points). Conclusions The final completed non-face-to-face class and face-to-face class practice program was presented using the ‘course structure diagram’ to make it easier to understand the overall structure. Methods of application in mixed classes (classes using both face-to-face and non-face-to-face instruction), which are expected to increase in the future, are also presented.
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Sato, Yoshihiro, and Yue Bao. "Log-Polar Facial Recognition Using Minimum Feature Band." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 09 (April 29, 2021): 2156003. http://dx.doi.org/10.1142/s0218001421560036.

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There is an increasing demand for biometric security systems in several fields. This study presents a highly accurate facial recognition method that uses high-speed transformation and facial morphing using region-limited log-polar transformation based on a center point calculated from the coordinates of both eyes and corners of the mouth. Log-polar transformation is limited to the region, so that the region including the feature can be suppressed to the minimum range, thereby facilitating high-speed transformation. Additionally, after facial morphing, the shapes of the eyes and mouth are altered based on the outline of the face, enabling high-precision facial recognition. The efficacy of the proposed method is verified experimentally. Therefore, we can confirm that 91.72% of images using the color FERET database and 96% of images using the FEI face database can be recognized using our method.
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Utomo, Budi Tri, Iskandar Fitri, and Eri Mardiani. "Penerapan Face Recognition pada Aplikasi Akademik Online." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 5, no. 4 (October 25, 2021): 420. http://dx.doi.org/10.35870/jtik.v5i4.244.

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In the era of big data, the biometric identification process is growing very fast and is increasingly being implemented in many applications. Face recognition technology utilizes artificial intelligence (AI) to recognize faces that are already stored in the database. In this research, it is proposed to design an online academic login system at the National University using real time face recognition used OpenCV with the Local Binary Pattern Histogram algorithm and the Haar Cassade Classification method. The system will detect, recognize and compare faces with the stored face database. The image used is 480 x 680 pixels with a .jpg extension in the form of an RGB image which will be converted into a Grayscale image., to make it easier to calculate the histogram value of each face that will be recognized. With a modeling system like this it is hope to make it easy for user to log into online academics.Keywords:Face Recognition, Haar Cascade Clasifier, Local Binary Pattern Histogram, Online Akademic, OpenCV.
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Jenista, David. "Rotary Welder for Hot Billets." Materials Science Forum 618-619 (April 2009): 245–48. http://dx.doi.org/10.4028/www.scientific.net/msf.618-619.245.

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The use of two-piece billets in aluminium extrusion is often viewed as a necessary evil. A heating system that provides two-piece billets to the press can provide better ingot utilization than a heater which provides single-piece billets. The issues associated with the handling and extruding of two-piece billets are accepted as the price of improved ingot utilization. With the rotary welder, the end of each log segment is joined to the front of the following log by friction welding. The combination of the rotation of the short piece and the pressure applied creates a bond that will maintain one-piece integrity as the billet is conveyed to the press and loaded into the container. The handling issues associated with two-piece billets are eliminated. A unique re-cut cycle removes contaminants from the two weld faces immediately prior to welding. The two ends are precisely aligned and the saw makes a cut that removes the face of the remaining piece and the face of the following log. This re-cut removes debris, oxide and potential trapped air from a less than perfect cut at the cast house. The welding is then performed with the two freshly cut faces. The metallurgical performance is improved by the removal of debris and oxide on the faces. This allows the use of welded billets in some applications that previously required single-piece billets to achieve the necessary structural integrity.
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Dissertations / Theses on the topic "Face log"

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Cook, James Allen. "A decompositional investigation of 3D face recognition." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16653/1/James_Allen_Cook_Thesis.pdf.

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Automated Face Recognition is the process of determining a subject's identity from digital imagery of their face without user intervention. The term in fact encompasses two distinct tasks; Face Verficiation is the process of verifying a subject's claimed identity while Face Identification involves selecting the most likely identity from a database of subjects. This dissertation focuses on the task of Face Verification, which has a myriad of applications in security ranging from border control to personal banking. Recently the use of 3D facial imagery has found favour in the research community due to its inherent robustness to the pose and illumination variations which plague the 2D modality. The field of 3D face recognition is, however, yet to fully mature and there remain many unanswered research questions particular to the modality. The relative expense and specialty of 3D acquisition devices also means that the availability of databases of 3D face imagery lags significantly behind that of standard 2D face images. Human recognition of faces is rooted in an inherently 2D visual system and much is known regarding the use of 2D image information in the recognition of individuals. The corresponding knowledge of how discriminative information is distributed in the 3D modality is much less well defined. This dissertations addresses these issues through the use of decompositional techniques. Decomposition alleviates the problems associated with dimensionality explosion and the Small Sample Size (SSS) problem and spatial decomposition is a technique which has been widely used in face recognition. The application of decomposition in the frequency domain, however, has not received the same attention in the literature. The use of decomposition techniques allows a map ping of the regions (both spatial and frequency) which contain the discriminative information that enables recognition. In this dissertation these techniques are covered in significant detail, both in terms of practical issues in the respective domains and in terms of the underlying distributions which they expose. Significant discussion is given to the manner in which the inherent information of the human face is manifested in the 2D and 3D domains and how these two modalities inter-relate. This investigation is extended to cover also the manner in which the decomposition techniques presented can be recombined into a single decision. Two new methods for learning the weighting functions for both the sum and product rules are presented and extensive testing against established methods is presented. Knowledge acquired from these examinations is then used to create a combined technique termed Log-Gabor Templates. The proposed technique utilises both the spatial and frequency domains to extract superior performance to either in isolation. Experimentation demonstrates that the spatial and frequency domain decompositions are complimentary and can combined to give improved performance and robustness.
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Cook, James Allen. "A decompositional investigation of 3D face recognition." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16653/.

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Automated Face Recognition is the process of determining a subject's identity from digital imagery of their face without user intervention. The term in fact encompasses two distinct tasks; Face Verficiation is the process of verifying a subject's claimed identity while Face Identification involves selecting the most likely identity from a database of subjects. This dissertation focuses on the task of Face Verification, which has a myriad of applications in security ranging from border control to personal banking. Recently the use of 3D facial imagery has found favour in the research community due to its inherent robustness to the pose and illumination variations which plague the 2D modality. The field of 3D face recognition is, however, yet to fully mature and there remain many unanswered research questions particular to the modality. The relative expense and specialty of 3D acquisition devices also means that the availability of databases of 3D face imagery lags significantly behind that of standard 2D face images. Human recognition of faces is rooted in an inherently 2D visual system and much is known regarding the use of 2D image information in the recognition of individuals. The corresponding knowledge of how discriminative information is distributed in the 3D modality is much less well defined. This dissertations addresses these issues through the use of decompositional techniques. Decomposition alleviates the problems associated with dimensionality explosion and the Small Sample Size (SSS) problem and spatial decomposition is a technique which has been widely used in face recognition. The application of decomposition in the frequency domain, however, has not received the same attention in the literature. The use of decomposition techniques allows a map ping of the regions (both spatial and frequency) which contain the discriminative information that enables recognition. In this dissertation these techniques are covered in significant detail, both in terms of practical issues in the respective domains and in terms of the underlying distributions which they expose. Significant discussion is given to the manner in which the inherent information of the human face is manifested in the 2D and 3D domains and how these two modalities inter-relate. This investigation is extended to cover also the manner in which the decomposition techniques presented can be recombined into a single decision. Two new methods for learning the weighting functions for both the sum and product rules are presented and extensive testing against established methods is presented. Knowledge acquired from these examinations is then used to create a combined technique termed Log-Gabor Templates. The proposed technique utilises both the spatial and frequency domains to extract superior performance to either in isolation. Experimentation demonstrates that the spatial and frequency domain decompositions are complimentary and can combined to give improved performance and robustness.
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Nelson-Moon, Zararna Louise. "Myosin heavy chain expression in the human masseter muscle and vertical facial form." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252100.

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Finlen, Kate Elizabeth. "Long lower anterior face height: phenotypic diversity." Thesis, University of Iowa, 2017. https://ir.uiowa.edu/etd/5468.

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Introduction: The hyperdivergent facial form is typically characterized by a long lower anterior facial height (LAFH), steep mandibular plane angle, and skeletal open bite. The purpose of our study was to further explore morphologic variation within long LAFH subjects using geometric morphometric methods. Methods: Cephalograms of 147 individuals (n= 147; 87 female, 60 male; age range: 16-68 years) with LAFH to total anterior facial height (TAFH), ratio (LAFH/TAFH), at or above 57.4% were studied. Cluster analysis and canonical variate analysis captured phenotypic variation and identified homogenous groups. Results: Cluster analysis resulted in three discrete long LAFH phenotypes that varied along vertical and anteroposterior dimensions. Conclusions: We found significant morphologic variation within the sample population of long LAFH individuals. Three phenotypes with varied vertical and anteroposterior discrepancies were revealed through the cluster analysis. Within our sample, we found both convergent and divergent facial patterns with concomitant cranial base rotation and posterior ramal border displacement. Vertical variation was largely independent of anteroposterior discrepancies.
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da, Silva Gomes Joao Paulo. "Brain inspired approach to computational face recognition." Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/3544.

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Face recognition that is invariant to pose and illumination is a problem solved effortlessly by the human brain, but the computational details that underlie such efficient recognition are still far from clear. This thesis draws on research from psychology and neuroscience about face and object recognition and the visual system in order to develop a novel computational method for face detection, feature selection and representation, and memory structure for recall. A biologically plausible framework for developing a face recognition system will be presented. This framework can be divided into four parts: 1) A face detection system. This is an improved version of a biologically inspired feedforward neural network that has modifiable connections and reflects the hierarchical and elastic structure of the visual system. The face detection system can detect if a face is present in an input image, and determine the region which contains that face. The system is also capable of detecting the pose of the face. 2) A face region selection mechanism. This mechanism is used to determine the Gabor-style features corresponding to the detected face, i.e., the features from the region of interest. This region of interest is selected using a feedback mechanism that connects the higher level layer of the feedforward neural network where ultimately the face is detected to an intermediate level where the Gabor style features are detected. 3) A face recognition system which is based on the binary encoding of the Gabor style features selected to represent a face. Two alternative coding schemes are presented, using 2 and 4 bits to represent a winning orientation at each location. The effectiveness of the Gabor-style features and the different coding schemes in discriminating faces from different classes is evaluated using the Yale B Face Database. The results from this evaluation show that this representation is close to other results on the same database. 4) A theoretical approach for a memory system capable of memorising sequences of poses. A basic network for memorisation and recall of sequences of labels have been implemented, and from this it is extrapolated a memory model that could use the ability of this model to memorise and recall sequences, to assist in the recognition of faces by memorising sequences of poses. Finally, the capabilities of the detection and recognition parts of the system are demonstrated using a demo application that can learn and recognise faces from a webcam.
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Flude, Brenda M. "Long term repetition priming of familiar faces." Thesis, Lancaster University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358733.

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Lam-Médioni, Régina. "Etude de l'angle goniaque sur des teleradiographies de 151 cas de faces longues en classe ii et iii d'angle." Paris 7, 1988. http://www.theses.fr/1988PA071052.

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Prado, Kelvin Salton do. "Comparação de técnicas de reconhecimento facial para identificação de presença em um ambiente real e semicontrolado." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-07012018-222531/.

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O reconhecimento facial é uma tarefa que os seres humanos realizam naturalmente todos os dias e praticamente sem esforço nenhum. Porém para uma máquina este processo não é tão simples. Com o aumento do poder computacional das máquinas atuais criou-se um grande interesse no processamento de imagens e vídeos digitais, com aplicações nas mais diversas áreas de conhecimento. Este trabalho objetiva a comparação de técnicas de reconhecimento facial, já conhecidas na literatura, com o intuito de identificar qual técnica possui melhor desempenho em um ambiente real e semicontrolado. Secundariamente avalia-se a possibilidade da utilização de uma ou mais técnicas de reconhecimento facial para identificar automaticamente a presença de alunos em uma sala de aula de artes marciais, utilizando imagens das câmeras de vigilância instaladas no recinto, levando em consideração aspectos importantes, tais como: imagens com pouca nitidez, luminosidade não ideal, movimentação constante dos alunos e o fato das câmeras estarem em um ângulo fixo. Este trabalho está relacionado às áreas de Processamento de Imagens e Reconhecimento de Padrões, e integra a linha de pesquisa de \"Monitoramento de Presença\" do projeto \"Ensino e Monitoramento de Atividades Físicas via Técnicas de Inteligência Artificial\" (Processo 2014.1.923.86.4, publicado no DOE 125(45), em 10/03/2015), projeto este executado em conjunto da Universidade de São Paulo, Faculdade Campo Limpo Paulista e Academia Central Kungfu-Wushu. Com os experimentos realizados e apresentados neste trabalho foi possível concluir que, dentre os métodos de reconhecimento facial utilizados, o método Local Binary Patterns teve o melhor desempenho no ambiente proposto. Por outro lado, o método Eigenfaces teve o pior desempenho de acordo com os experimentos realizados. Além disso, foi possível concluir também que não é viável a realização da detecção de presença automática de forma confiável no ambiente proposto, pois a taxa de reconhecimento facial foi relativamente baixa, se comparada a outros trabalhos do estado da arte, trabalhos estes que usam de ambientes de testes mais amigáveis, mas ao mesmo tempo menos comumente encontrados em nosso dia-a-dia. Acredita-se que foi possível alcançar os objetivos propostos pelo trabalho e que o mesmo possa contribuir para o estado da arte atual na área de visão computacional, mais precisamente no âmbito do reconhecimento facial. Ao final são sugeridos alguns trabalhos futuros que podem ser utilizados como ponto de partida para a continuação desta pesquisa ou até mesmo de novas pesquisas relacionadas a este tema
Face recognition is a task that human beings perform naturally in their everyday lives, usually with no effort at all. To machines, however, this process is not so simple. With the increasing computational power of current machines, a great interest was created in the field of digital videos and images processing, with applications in most diverse areas of knowledge. This work aims to compare face recognition techniques already know in the literature, in order to identify which technique has the best performance in a real and semicontrolled environment. As a secondary objective, we evaluate the possibility of using one or more face recognition techniques to automatically identify the presence of students in a martial arts classroom using images from the surveillance cameras installed in the room, taking into account important aspects such as images with low sharpness, illumination variation, constant movement of students and the fact that the cameras are at a fixed angle. This work is related to the Image Processing and Pattern Recognition areas, and integrates the research line \"Presence Monitoring\" of the project entitled \"Education and Monitoring of Physical Activities using Artificial Intelligence Techniques\" (Process 2014.1.923.86.4, published in DOE 125 (45) on 03/10/2015), developed as a partnership between the University of São Paulo, Campo Limpo Paulista Faculty, and Kungfu-Wushu Central Academy. With the experiments performed and presented in this work it was possible to conclude that, amongst all face recognition methods that were tested, Local Binary Patterns had the best performance in the proposed environment. On the other hand, Eigenfaces had the worse performance according to the experiments. Moreover, it was also possible to conclude that it is not feasible to perform the automatic presence detection reliably in the proposed environment, since the face recognition rate was relatively low, compared to the state of the art which uses, in general, more friendly test environments but at the same time less likely found in our daily lives. We believe that it was possible to achieve the objectives proposed by this work and that can contribute to the current state of the art in the computer vision field and, more precisely, in the face recognition area. Finally, some future work is suggested that can be used as a starting point for the continuation of this work or even for new researches related to this topic
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Le, Guennec Benoît Hoornaert Alain. "Impact du remodelage osseux crânio-facial sur l'esthétique à long terme de la prothèse implanto portée unitaire du secteur maxillaire antérieur." [S.l.] : [s.n.], 2008. http://castore.univ-nantes.fr/castore/GetOAIRef?idDoc=50416.

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Miszkiel, Samanta, and Alan Cheng. "Hej, kom spela med oss! (Hi, come play with us!)." Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22169.

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People play games now more than ever before. While the digital gaming industry dominates the market, boardgaming has been living in its shadow. Board games offer a physical tangibility and a social experience that can be found in few digital games.How do we create a tool that further builds upon those strengths?The purpose of this study is to examine the possibility of developing a service that consists of an mobile application and board game events to promote social face-to-face interaction. Focus has been on the social face-to-face interaction in the context of a board game session. We have through the use of service prototyping and low-fi prototypes created a small-scale context in which we have conducted our research in.This study has been conducted with the use of observations of board game events and with the use of low-fi prototypes.The thesis treats theories and methods that have been used throughout this project.We can also find the documentation of our research data, read about the following design process of creating the service and results of usertesting.Finally in the conclusion we present the results of our research, our final design and suggestions on further development.Keywords:
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Books on the topic "Face log"

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Koontz, Dean R. The face. New York: Bantam Books, 2003.

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Koontz, Dean R. The face. London: Harper Collins Publishers, 2003.

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Appelman, William H. Claim to fame. New York: Carroll & Graf, 1993.

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Commission, India Delimitation, ed. Changing face of electoral India: Delimitation 2008. New Delhi: Delimitation Commission of India, 2008.

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Publishing, Engy. Resting Witch Face: Mileage Log Book. Independently Published, 2019.

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Publishing, Engy. Resting Witch Face: Maintenance Log Book. Independently Published, 2019.

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Publishing, Engy. Resting Witch Face: Gas & Mileage Log Book. Independently Published, 2019.

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Publishing, Tcu Workout. Resting Gym Face: Women's Workout Log Book. Independently Published, 2019.

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Makeup Chart Log Book: Makeup Chart Log Book, Makeup Face Chart Paper Natural Makeup Face Chart Beauty Book Makeup. Independently Published, 2021.

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Publishing, Engy. I Live Inside Your Face: Maintenance Log Book. Independently Published, 2019.

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Book chapters on the topic "Face log"

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Li, Jing, Nong Sang, and Changxin Gao. "Log-Gabor Weber Descriptor for Face Recognition." In Computer Vision - ACCV 2014 Workshops, 541–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16628-5_39.

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Zuo, Wangmeng, Lei Liu, Kuanquan Wang, and David Zhang. "Spatially Smooth Subspace Face Recognition Using LOG and DOG Penalties." In Advances in Neural Networks – ISNN 2009, 439–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01513-7_48.

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Escobar, María José, Javier Ruiz-del-Solare, and José Rodriguez. "Face Recognition Using Multi Log-Polar Images and Gabor Filters." In Advances in Soft Computing, 197–204. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3744-3_19.

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Chien, Sung-Il, and Il Choi. "Face and Facial Landmarks Location Based on Log-Polar Mapping." In Biologically Motivated Computer Vision, 379–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45482-9_38.

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Qing, Laiyun, Shiguang Shan, and Wen Gao. "Face Recognition Under Varying Lighting Based on Derivates of Log Image." In Advances in Biometric Person Authentication, 196–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30548-4_23.

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Yildiz, Mithat C̨aǧri, Omid Sharifi, and Maryam Eskandari. "Log-Gabor Transforms and Score Fusion to Overcome Variations in Appearance for Face Recognition." In Computer Vision and Graphics, 353–61. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46418-3_31.

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Saga, Ryosuke, Takao Miyamoto, Hiroshi Tsuji, and Kazunori Matsumoto. "FACT-Graph in Web Log Data." In Knowledge-Based and Intelligent Information and Engineering Systems, 271–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23866-6_29.

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Wong, David A., and Katherine E. Wong. "“Myth” or “Fact”." In Surgery for Low Back Pain, 159–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04547-9_22.

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Marichal, Jean-Luc, and Naïm Zenaïdi. "Derivatives of Multiple $$\log \Gamma $$ -Type Functions." In A Generalization of Bohr-Mollerup's Theorem for Higher Order Convex Functions, 91–110. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95088-0_7.

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AbstractIn this chapter, we discuss the higher order differentiability properties of Σg when g lies in $$\mathcal {C}^r\cap \mathcal {D}^p\cap \mathcal {K}^{\max \{p,r\}}$$ C r ∩ D p ∩ K max { p , r } for any $$p,r\in \mathbb {N}$$ p , r ∈ ℕ . In particular, we show the fundamental fact that Σg also lies in $$\mathcal {C}^r$$ C r and that the sequence $$n \mapsto D^rf^p_n[g]$$ n ↦ D r f n p [ g ] converges uniformly on any bounded subinterval of $$\mathbb {R}_+$$ ℝ + to Dr Σg.
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Pellisé, F. "Facet Problems: A Surgical Indication?" In Surgery for Low Back Pain, 155–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04547-9_21.

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Conference papers on the topic "Face log"

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Norell, K. "Creating synthetic log end face images." In 2009 6th International Symposium on Image and Signal Processing and Analysis. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.5297696.

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Cook, J. A., V. Chandran, and C. Fookes. "3D Face Recognition using Log-Gabor Templates." In British Machine Vision Conference 2006. British Machine Vision Association, 2006. http://dx.doi.org/10.5244/c.20.79.

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Biswas, Suvagata, Yonghui Wang, and Suxia Cui. "Surgically altered face detection using log-Gabor wavelet." In 2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). IEEE, 2015. http://dx.doi.org/10.1109/iccwamtip.2015.7493965.

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Shinkai, Soya, Yoji Aizawa, Marko Robnik, and Valery Romanovski. "Ergodic properties of the Log-Weibull map with an infinite measure." In LET’S FACE CHAOS THROUGH NONLINEAR DYNAMICS: Proceedings of “Let’s Face Chaos Through Nonlinear Dynamics” 7th International Summer School and Conference. AIP, 2008. http://dx.doi.org/10.1063/1.3046258.

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Hu, Bufa, Bijuan Weng, and Shumin Ruan. "Face recognition and retrieval based on feedback log information." In 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2012. http://dx.doi.org/10.1109/csae.2012.6272663.

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Zhang, Zijian, and Min Yao. "Illumination Invariant Face Recognition By Expected Patch Log Likelihood." In 2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2020. http://dx.doi.org/10.1109/isspit51521.2020.9408918.

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Zhang, Zijian, and Min Yao. "Illumination Invariant Face Recognition By Expected Patch Log Likelihood." In SoutheastCon 2021. IEEE, 2021. http://dx.doi.org/10.1109/southeastcon45413.2021.9401913.

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Cook, Jamie, Chris McCool, Vinod Chandran, and Sridha Sridharan. "Combined 2D/3D Face Recognition Using Log-Gabor Templates." In 2006 IEEE International Conference on Video and Signal Based Surveillance. IEEE, 2006. http://dx.doi.org/10.1109/avss.2006.35.

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Perez, Claudio A., and Carlos M. Aravena. "Log-Linear Elliptic Transform for Frontal-Face Parameter Estimation." In 2007 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icsmc.2007.4414192.

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Wei, Zhenli, Xiaoguang Li, and Li Zhuo. "An automatic face log collection method for video sequence." In the Fifth International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2499788.2499869.

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Reports on the topic "Face log"

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Glasmeier, Amy, and Priscilla Salant. Low-skill workers in rural America face permanent job loss. University of New Hampshire Libraries, 2006. http://dx.doi.org/10.34051/p/2020.7.

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Rachel Racicot, Rachel Racicot. Why the long face? Functional morphology of a unique fossil porpoise. Experiment, July 2014. http://dx.doi.org/10.18258/2867.

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Lewis, David W. Best opening face system for sweepy, eccentric logs : a user’s guide. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 1985. http://dx.doi.org/10.2737/fpl-gtr-49.

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Watson, A., M. Butheau, and D. Sandor. Coordinating Low Emission Development in Columbia (Fact Sheet). Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1105087.

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Watson, A., D. Sandor, and M. Butheau. Climate-Resilient Low Emission Development in Bangladesh (Fact Sheet). Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1105082.

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Watson, A., D. Sandor, and M. Butheau. U.S. Government Supports Low Emission Economic Growth (Fact Sheet). Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1105089.

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Watson, A., M. Butheau, and D. Sandor. Advancing Low Emission Growth in the Philippines (Fact Sheet). Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1105093.

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USDA Forest Service, Rocky Mountain Research Station. Fuels planning: science synthesis and integration; economic uses fact sheet 02: log hauling cost. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2004. http://dx.doi.org/10.2737/rmrs-rn-20-v2.

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Bando, Rosangela, Otavio Canozzi, José Martínez, and Ana Lucía Dezolt. May I Calculate Your Taxes?: The Effect of Bookkeeping on Tax Compliance under a Simplified Regime. Inter-American Development Bank, May 2021. http://dx.doi.org/10.18235/0003386.

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Many countries worldwide face significant miss reporting in tax declarations. Miss reporting leads to undesired low revenue and economic distortions. This paper discusses the extent to which the residual bookkeeping burden faced by small firms in simplified regimes influence tax declarations. A randomized control trial among 1,500 irregular firms in Piaui, Brazil showed that adding the tax amount due and records on transactions to a warning notification improved compliance in 21 percentage points and increased the reported revenue in 39 percent. Firms without an accountant were less likely to regularize their status without the added information. These findings suggest the use of third party information to support voluntary compliance may present an opportunity for digital services to improve tax revenue services.
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USDA Forest Service, Rocky Mountain Research Station. Fuels planning: science synthesis and integration; economic uses fact sheet 07: markets and log prices. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2004. http://dx.doi.org/10.2737/rmrs-rn-20-v7.

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