Relevant bibliographies by topics / Face – Measurement

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Face – Measurement'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Face – Measurement"

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Crenna, F., G. B. Rossi, and L. Bovio. "Perceived similarity in face measurement." Measurement 50 (April 2014): 397–406. http://dx.doi.org/10.1016/j.measurement.2013.07.024.

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Kroos, Christian, Takaaki Kuratate, and Eric Vatikiotis-Bateson. "Video-based face motion measurement." Journal of Phonetics 30, no. 3 (July 2002): 569–90. http://dx.doi.org/10.1006/jpho.2002.0164.

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Spirig, Robert, Christian Feigenwinter, Markus Kalberer, Eberhard Parlow, and Roland Vogt. "Dolueg: A Measurement Network’s Face." Bulletin of the American Meteorological Society 102, no. 7 (July 2021): 629–31. http://dx.doi.org/10.1175/bams-d-20-0196.1.

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Hilgert, Luisa, Martin Kroh, and David Richter. "The effect of face-to-face interviewing on personality measurement." Journal of Research in Personality 63 (August 2016): 133–36. http://dx.doi.org/10.1016/j.jrp.2016.05.006.

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Zhang, Yu, and Edmond C. Prakash. "Face to Face: Anthropometry-Based Interactive Face Shape Modeling Using Model Priors." International Journal of Computer Games Technology 2009 (2009): 1–15. http://dx.doi.org/10.1155/2009/573924.

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This paper presents a new anthropometrics-based method for generating realistic, controllable face models. Our method establishes an intuitive and efficient interface to facilitate procedures for interactive 3D face modeling and editing. It takes 3D face scans as examples in order to exploit the variations presented in the real faces of individuals. The system automatically learns a model prior from the data-sets of example meshes of facial features using principal component analysis (PCA) and uses it to regulate the naturalness of synthesized faces. For each facial feature, we compute a set of anthropometric measurements to parameterize the example meshes into a measurement space. Using PCA coefficients as a compact shape representation, we formulate the face modeling problem in a scattered data interpolation framework which takes the user-specified anthropometric parameters as input. Solving the interpolation problem in a reduced subspace allows us to generate a natural face shape that satisfies the user-specified constraints. At runtime, the new face shape can be generated at an interactive rate. We demonstrate the utility of our method by presenting several applications, including analysis of facial features of subjects in different race groups, facial feature transfer, and adapting face models to a particular population group.
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Prkachin, Kenneth M. "Measurement in the face of pain." APS Journal 1, no. 3 (September 1992): 167–69. http://dx.doi.org/10.1016/1058-9139(92)90003-u.

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Amirav, I., A. S. Luder, A. Halamish, C. Marzuk, M. Daitzchman, and M. T. Newhouse. "Computerized Dead-Space Volume Measurement of Face Masks Applied to Simulated Faces." Respiratory Care 60, no. 9 (May 5, 2015): 1247–51. http://dx.doi.org/10.4187/respcare.03813.

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Wu, Kui, Cai Y. Ma, Jing J. Liu, Yang Zhang, and Xue Z. Wang. "Measurement of Crystal Face Specific Growth Kinetics." Crystal Growth & Design 16, no. 9 (July 25, 2016): 4855–68. http://dx.doi.org/10.1021/acs.cgd.6b00189.

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Burton, A. Mike, Vicki Bruce, and Neal Dench. "What's the Difference between Men and Women? Evidence from Facial Measurement." Perception 22, no. 2 (February 1993): 153–76. http://dx.doi.org/10.1068/p220153.

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Human subjects are able to identify the sex of faces with very high accuracy. Using photographs of adults in which hair was concealed by a swimming cap, subjects performed with 96% accuracy. Previous work has identified a number of dimensions on which the faces of men and women differ. An attempt to combine these dimensions into a single function to classify male and female faces reliably is described. Photographs were taken of 91 male and 88 female faces in full face and profile. These were measured in several ways: (i) simple distances between key points in the pictures; (ii) ratios and angles formed between key points in the pictures; (iii) three-dimensional (3-D) distances derived by combination of full-face and profile photographs. Discriminant function analysis showed that the best discriminators were derived from simple distance measurements in the full face (85% accuracy with 12 variables) and 3-D distances (85% accuracy with 6 variables). Combining measures taken from the picture plane with those derived in 3-D produced a discriminator approaching human performance (94% accuracy with 16 variables). Performance of the discriminant function was compared with that of human perceivers and found to be correlated, but far from perfectly. The difficulty of deriving a reliable function to distinguish between the sexes is discussed with reference to the development of automatic face-processing programs in machine vision. It is argued that such systems will need to incorporate an understanding of the stimuli if they are to be effective.
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Altorfer, Andreas, Stefan Jossen, Othmar Würmle, Marie-Louise Käsermann, Klaus Foppa, and Heinrich Zimmermann. "Measurement and meaning of head movements in everyday face-to-face communicative interaction." Behavior Research Methods, Instruments, & Computers 32, no. 1 (March 2000): 17–32. http://dx.doi.org/10.3758/bf03200785.

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Dissertations / Theses on the topic "Face – Measurement"

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Chan, Yin-man, and 陳彥民. "Three-dimensional cephalometry of Chinese faces." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43958643.

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Austin, Erin, and L. Lee Glenn. "Online and Face-To-Face Orthopaedic Surgery Education Methods." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/7497.

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Sandri, Gustavo Luiz. "Automated non-contact heart rate measurement using conventional video cameras." reponame:Repositório Institucional da UnB, 2016. http://dx.doi.org/10.26512/2016.02.D.21118.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2016.
Conforme o sangue flui através do corpo de um indivíduo, ele muda a forma como a luz é irradiada pela pele, pois o sangue absorve luz de forma diferente dos outros tecidos. Essa sutil variação pode ser capturada por uma câmera e ser usada para monitorar a atividade cardíaca de uma pessoa. O sinal capturado pela câmera é uma onda que representa as variações de tonalidade da pele ao longo do tempo. A frequência dessa onda é a mesma frequência na qual o coração bate. Portanto, o sinal capturado pela câmera pode ser usado para estimar a taxa cardíaca de uma pessoa. Medir o pulso cardíaco remotamente traz mais conforto pois evita o uso de eletrodos. Também permite o monitoramento de uma pessoa de forma oculta para ser empregado em um detector de mentira, por exemplo. Neste trabalho nós propomos dois algoritmos para a estimação da taxa cardíaca sem contato usando câmeras convencionais sob iluminação não controlada. O primeiro algoritmo proposto é um método simples que emprega um detector de face que identifica a face da pessoa sendo monitorada e extrai o sinal gerado pelas mudanças no tom da pele devido ao fluxo sanguíneo. Este algoritmo emprega um filtro adaptativo para aumentar a energia do sinal de interesse em relação ao ruído. Nós mostramos que este algoritmo funciona muito bem para vídeos com pouco movimento. O segundo algoritmo que propomos é uma melhora do primeiro para torná-lo mais robusto a movimentos. Nós modificamos o método usado para definir a região de interesse. Neste algoritmo é utilizado um detector de pele para eliminar pixels do plano de fundo do vídeo, os frames dos vídeos são divididos em micro-regiões que são rastreados com um algoritmo de fluxo ótico para compensar os movimentos e um algoritmo de clusterização é aplicado para selecionar automaticamente as melhores micro-regiões para efetuar a estimação da taxa cardíaca. Propomos também um esquema de filtragem temporal e espacial para reduzir o ruído introduzido pelo algoritmo de fluxo ótico. Comparamos os resultados dos nossos algoritmos com um oxímetro de dedo comercial e mostramos que eles funcionam bem para situações desafiadoras.
As the blood flows through the body of an individual, it changes the way that light is irradiated by the skin, because blood absorbs light differently than the remaining tissues. This subtle variation can be captured by a camera and be used to monitor the heart activity of a person. The signal captured by the camera is a wave that represents the changes in skin tone along time. The frequency of this wave is the same as the frequency by which the heart beats. Therefore, the signal captured by the camera could be used to estimate a person’s heart rate. This remote measurement of cardiac pulse provides more comfort as it avoids the use of electrodes or others devices attached to the body. It also allows the monitoring of a person in a canceled way to be employed in lie detectors, for example. In this work we propose two algorithms for non-contact heart rate estimation using conventional cameras under uncontrolled illumination. The first proposed algorithm is a simple approach that uses a face detector to identify the face of the person being monitored and extract the signal generated by the changes in the skin tone due to the blood flow. This algorithm employs an adaptive filter to boost the energy of the interest signal against noise. We show that this algorithm works very well for videos with little movement. The second algorithm we propose is an improvement of the first one to make it more robust to movements. We modify the approach used to define the region of interest. In this algorithm we employ a skin detector to eliminate pixels from the background, divide the frames in microregions that are tracked using an optical flow algorithm to compensate for movements and we apply a clustering algorithm to automatically select the best micro-regions to use for heart rate estimation. We also propose a temporal and spatial filtering scheme to reduce noise introduced by the optical flow algorithm. We compared the results of our algorithms to an off-the-shelf fingertip pulse oximeter and showed that they can work well under challenging situations.
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Hayes, Susan. "Seeing and measuring the 2D face." University of Western Australia. School of Anatomy and Human Biology, 2009. http://theses.library.uwa.edu.au/adt-WU2010.0067.

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This is a study of the factors that affect face shapes, and the techniques that can be used to measure variations in two dimensional representations of faces. The materials included thirty photographs of people in natural poses and thirty portraits that were based on the pose photographs. Visual assessors were asked to score the photographs and portraits in terms of pose (cant, turn and pitch) and also to compare the portraits to the photographs and score them in terms of likeness in the depiction of the face and its component features. Anthropometric indices were derived and used to score the images for the pose variables as well as for aspects of individual variation in external face shape and the spatial arrangement of the features. Geometric morphometric analysis was also used to determine the shape variation occurring in the photographs, the variation within the portraits, and to specifically discern where the portraits differ from the photographs in the depiction of head pose and individual differences in facial morphology. For the analysis of pose it was found that visual assessors were best at discerning the extent of head turning and poorest at discerning head pitch. These tendencies occurred in the visual assessments of both the photographs and the portrait drawings. For the analysis of the individual variation in face shapes it was found that external face shape varies according to upper face dimensions and the shape of the chin, and that vertical featural configurations are strongly linked to external face shape. When the portrait and photograph data were placed in the same geometric morphometric analysis the inaccuracies in the portrait drawings became evident. When these findings were compared to the visual assessments it transpired that, on average, visual assessment was generally congruent with the geometric morphometric analysis, but were possibly confounded by patterns of dysmorphology in the portraits that were contrary to what this study suggests are normal patterns of face shape variation. Overall this study has demonstrated that while anthropometric and visual assessments of facial differences are quite good, both were comparatively poor at assessing head pitch and tended to be confounded by the dysmorphologies arising in the portrait drawings. Geometric morphometric analysis was found to be very powerful in discerning complex shape variations associated with head pose and individual differences in facial morphology, both within and between the photographs and portraits.
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McIntyre, A. H. "Applying psychology to forensic facial identification : perception and identification of facial composite images and facial image comparison." Thesis, University of Stirling, 2012. http://hdl.handle.net/1893/9077.

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Eyewitness recognition is acknowledged to be prone to error but there is less understanding of difficulty in discriminating unfamiliar faces. This thesis examined the effects of face perception on identification of facial composites, and on unfamiliar face image comparison. Facial composites depict face memories by reconstructing features and configurations to form a likeness. They are generally reconstructed from an unfamiliar face memory, and will be unavoidably flawed. Identification will require perception of any accurate features, by someone who is familiar with the suspect and performance is typically poor. In typical face perception, face images are processed efficiently as complete units of information. Chapter 2 explored the possibility that holistic processing of inaccurate composite configurations will impair identification of individual features. Composites were split below the eyes and misaligned to impair holistic analysis (cf. Young, Hellawell, & Jay, 1987); identification was significantly enhanced, indicating that perceptual expertise with inaccurate configurations exerts powerful effects that can be reduced by enabling featural analysis. Facial composite recognition is difficult, which means that perception and judgement will be influence by an affective recognition bias: smiles enhance perceived familiarity, while negative expressions produce the opposite effect. In applied use, facial composites are generally produced from unpleasant memories and will convey negative expression; affective bias will, therefore, be important for facial composite recognition. Chapter 3 explored the effect of positive expression on composite identification: composite expressions were enhanced, and positive affect significantly increased identification. Affective quality rather than expression strength mediated the effect, with subtle manipulations being very effective. Facial image comparison (FIC) involves discrimination of two or more face images. Accuracy in unfamiliar face matching is typically in the region of 70%, and as discrimination is difficult, may be influenced by affective bias. Chapter 4 explored the smiling face effect in unfamiliar face matching. When multiple items were compared, positive affect did not enhance performance and false positive identification increased. With a delayed matching procedure, identification was not enhanced but in contrast to face recognition and simultaneous matching, positive affect improved rejection of foil images. Distinctive faces are easier to discriminate. Chapter 5 evaluated a systematic caricature transformation as a means to increase distinctiveness and enhance discrimination of unfamiliar faces. Identification of matching face images did not improve, but successful rejection of non-matching items was significantly enhanced. Chapter 6 used face matching to explore the basis of own race bias in face perception. Other race faces were manipulated to show own race facial variation, and own race faces to show African American facial variation. When multiple face images were matched simultaneously, the transformation impaired performance for all of the images; but when images were individually matched, the transformation improved perception of other race faces and discrimination of own race faces declined. Transformation of Japanese faces to show own race dimensions produced the same pattern of effects but failed to reach significance. The results provide support for both perceptual expertise and featural processing theories of own race bias. Results are interpreted with reference to face perception theories; implications for application and future study are discussed.
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Zanatta, Juliana 1982. "Procedimento preparatório face a face e respostas de ansiedade e dor em jovens submetidos à exodontia de terceiro molar." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/288645.

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Orientador: Antonio Bento Alves de Moraes
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Odontologia de Piracicaba
Made available in DSpace on 2018-08-18T17:51:22Z (GMT). No. of bitstreams: 1 Zanatta_Juliana_M.pdf: 1561744 bytes, checksum: 6deeb2fc7bc444b163f8541e7049b28b (MD5) Previous issue date: 2011
Resumo: O objetivo do trabalho foi identificar os efeitos de um procedimento preparatório de fornecimento de informação face a face sobre os níveis de ansiedade, mudanças fisiológicas e dor de pacientes odontológicos submetidos à exodontia de terceiros molares. Participaram 123 pacientes, de 14 a 24 anos, que necessitavam de exodontia de, pelo menos, um terceiro molar em uma sessão odontológica. Os pacientes foram selecionados e alocados, aleatoriamente, em dois grupos (Controle e Experimental). O planejamento experimental foi dividido em (1) Questionário de Identificação; (2) Pré-Cirúrgico; (3) Oferecimento de Informação Prévia Face a Face (Grupo experimental); (4) Procedimento Cirúrgico; (5) Pós-Cirúrgico Imediato; (6) Pós-cirúrgico Mediato; e (7) Remoção de Sutura. O Questionário de Identificação apresentou questões abertas e fechadas sobre hábitos, experiência cirúrgica odontológica e história de uso de medicamentos. O momento Pré-Cirúrgico envolveu medidas fisiológicas (pressão arterial e frequência cardíaca), a aplicação do Inventário de Ansiedade Traço-Estado (IDATE), da Escala de Ansiedade Odontológica de Corah (DAS) e do Questionário Mcgill de Dor (Índice de Estimativa de Dor Sensorial, Índice de Estimativa de Dor Afetiva, Intensidade de Dor Presente e Avaliação Global da Experiência de Dor). Depois da etapa Pré-Cirúrgica, os pacientes do Grupo Experimental receberam a Informação Prévia Face a Face sobre a cirurgia de exodontia. As mesmas medidas do momento Pré-Cirúrgico foram repetidas no momento Pós-Cirúrgico Imediato, Mediato e Remoção de Sutura. Os dados obtidos pela entrevista e escores obtidos pelos instrumentos IDATE, DAS e McGill e pelo equipamento de aferição de medidas fisiológicas foram analisados através de testes Qui-Quadrado, Análise de Variância com Modelo Misto e Tukey (?=0,05). Verificou-se que não houve diferença estatisticamente significativa entre as médias dos escores obtidos por meio das medidas fisiológicas e das avaliações com os instrumentos DAS e IDATE em todos os momentos entre os Grupos (análise entre grupos) e na análise de cada grupo nos momentos (análise intra-grupo). A análise dos dados no relato de dor sugere haver redução significativa na variável Índice de Estimativa de Dor Sensorial no momento imediatamente após a cirurgia para os pacientes do Grupo Experimental (Pós-Cirúrgico Imediato: GC=6,83 - GE=4,43, p?0,0001). Estes resultados sugerem que a informação prévia face a face foi eficiente para a diminuição significativa dos relatos de dor sensorial imediatamente após a exodontia, mas não foi eficaz para a redução das medidas fisiológicas, das respostas de ansiedade e de outros relatos dor na exodontia de terceiros molares
Abstract: The aim of this work was to identify the effects of a preparatory procedure for providing face to face information on the levels of anxiety, physiological changes and pain of dental patients undergoing extraction of third molars. Participants 123 patients, 14 to 24 years, who required extraction of at least one third molar in a dental session. The patients were selected and randomly allocated into two groups (Control and Experimental). The experimental design was divided into (1) Identification Questionnaire; (2) Pre-Surgical; (3) Providing Prior Face to Face Information (Experimental Group); (4) Surgical Procedure; (5) Immediate Post-Surgical; (6) Mediate Post-Surgical; and (7) Suture Removal. The Identification Questionnaire presented open and closed questions about habits, dental experience and history of drug use. The Pre-Surgical moment involved physiological measurements (blood pressure and heart rate), the implementation of the Trait-State Anxiety Inventory (STAI), Dental Anxiety Scale (DAS), and the McGill Pain Questionnaire (Sensory Pain Rank Index, Affective Pain Rank Index, Present Pain Intensity and Global Assessment of Pain Experience). After the preoperative phase, patients in the Experimental Group received prior face to face information about extraction surgery. The same measures of Pre-Surgical moment were repeated in the Immediate Post-Surgical, Mediate Post-Surgical and Suture Removal moments. Data obtained by interview and scores obtained by instruments STAI, DAS and McGill, and the measures of the equipment measuring physiological measures were analyzed using Chi-Square, Analyses of Variance with Mixed Model and Tukey (?=0,05). It was found that there was no statistically significant difference between the means scores on the physiological assessments with the DAS and STAI instruments at all moments between the groups (between groups analysis) and analysis of each group in moments (Intra-group analysis). Data analysis in the reporting of pain suggests that there is significant reduction in the Sensory Pain Rank Index at the moment immediately after surgery to Experimental Group patients (Immediate Post-Surgical: CG: 6,83 - EG: 4,43, p?0,0001). These results suggest that prior face to face information was efficient for the significant decrease in the reports of sensory pain immediately after extraction, but was not effective for reduces physiological responses measures of anxiety and of others reports pain on third molar extraction. These results indicate that prior face to face information was efficient for significant decrease in reports of sensory pain immediately after extraction, but was not effective for reducing physiological measures and anxiety and other pain responses reports on third molar extraction
Mestrado
Saude Coletiva
Mestre em Odontologia
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Sarkar, Abhijit. "Cardiac Signals: Remote Measurement and Applications." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78739.

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The dissertation investigates the promises and challenges for application of cardiac signals in biometrics and affective computing, and noninvasive measurement of cardiac signals. We have mainly discussed two major cardiac signals: electrocardiogram (ECG), and photoplethysmogram (PPG). ECG and PPG signals hold strong potential for biometric authentications and identifications. We have shown that by mapping each cardiac beat from time domain to an angular domain using a limit cycle, intra-class variability can be significantly minimized. This is in contrary to conventional time domain analysis. Our experiments with both ECG and PPG signal shows that the proposed method eliminates the effect of instantaneous heart rate on the shape morphology and improves authentication accuracy. For noninvasive measurement of PPG beats, we have developed a systematic algorithm to extract pulse rate from face video in diverse situations using video magnification. We have extracted signals from skin patches and then used frequency domain correlation to filter out non-cardiac signals. We have developed a novel entropy based method to automatically select skin patches from face. We report beat-to-beat accuracy of remote PPG (rPPG) in comparison to conventional average heart rate. The beat-to-beat accuracy is required for applications related to heart rate variability (HRV) and affective computing. The algorithm has been tested on two datasets, one with static illumination condition and the other with unrestricted ambient illumination condition. Automatic skin detection is an intermediate step for rPPG. Existing methods always depend on color information to detect human skin. We have developed a novel standalone skin detection method to show that it is not necessary to have color cues for skin detection. We have used LBP lacunarity based micro-textures features and a region growing algorithm to find skin pixels in an image. Our experiment shows that the proposed method is applicable universally to any image including near infra-red images. This finding helps to extend the domain of many application including rPPG. To the best of our knowledge, this is first such method that is independent of color cues.
Ph. D.
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Singh, Rajendra. "CCD based active triangulation for automatic close range monitoring of rock movement." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243595.

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Al-Ghadban, Fatima A. "Evaluating the Face Validity of an Arabic-language Translation of a Food Security Questionnaire in Arabic-speaking Populations." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343055581.

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Marfull, Héctor. "Investigation of packet delay jitter metrics in face of loss and reordering." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4289.

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Nowadays mobility is a field of great importance. The fact of travelling or moving should not mean the rupture of the connection to the Internet. And the current objective is not only to be world-wide connected, it is also to be it always through the best available connection (ABC). It means the need to perform vertical handover to switch between different networks, while maintaining the same Internet connection. All this has to be done in a transparent way to the user. In order provide the highest Quality of Experience some tools are needed to enable checking the status and performance of the different available networks, measuring and collecting statistics, in order to take advantage of each one of them. This thesis presents the theoretical base for a measurement module by describing and analysing different metrics, with special emphasis on delay jitter, collecting and comparing different methods, and discussing their main characteristics and suitability for this goal.
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Books on the topic "Face – Measurement"

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Nasrollahi, Kamal, Cosimo Distante, Gang Hua, Andrea Cavallaro, Thomas B. Moeslund, Sebastiano Battiato, and Qiang Ji, eds. Video Analytics. Face and Facial Expression Recognition and Audience Measurement. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56687-0.

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George, Robert M. Facial geometry: Graphic facial analysis for forensic artists. Springfield, Ill: Charles C. Thomas, 2007.

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M, Salter Elizabeth, ed. Craniofacial anthropometry: Practical measurement of the head and face for clinical, surgical, and research use. Springfield, Ill., U.S.A: C.C. Thomas, 1997.

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Chubarov, V. A. Simmetrii lit͡s︡a i tradit͡s︡ionnai͡a︡ kitaĭskai͡a︡ medit͡s︡ina. Sankt-Peterburg: Mezhdunar. t͡s︡entr ėkonomiki, nauki i tekhniki, 1994.

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Sagrado, María Villanueva. Morfología facial: Estudios en población mexicana a través de fotografías digitales. México, D.F: Universidad Nacional Autónoma de México, Instituto de Investigaciones Antropológicas, 2010.

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Linacre, J. Michael. Many-facet Rasch measurement. 2nd ed. Chicago: MESA Press, 1994.

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Office, General Accounting. Managing for results: Challenges agencies face in producing credible performance information : report to Congressional requesters. Washington, D.C. (P.O. Box 37050, Washington 20013): The Office, 2000.

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Hymes, Donald L. The changing face of testing and assessment: Problems and solutions. Arlington, Va: American Association of School Administrators, 1991.

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Murphy, Roger. The changing face of educational assessment. Milton Keynes [England]: Open University Press, 1988.

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Earl, Lorna M. Classroom assessment: Changing the face; facing the change. [Toronto]: Ontario Public School Teachers' Federation, 1995.

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Book chapters on the topic "Face – Measurement"

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Katsikitis, Mary. "FACEM: The Facial Expression Measurement System." In The Human Face, 99–118. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1063-5_5.

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Farinella, Giovanni Maria, Giuseppe Farioli, Sebastiano Battiato, Salvo Leonardi, and Giovanni Gallo. "Face Re-Identification for Digital Signage Applications." In Video Analytics for Audience Measurement, 40–52. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12811-5_3.

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Johnston, Patrick, and Vaughan Carr. "Facial Affect Recognition Deficits in Schizophrenia: A Case for Applying Facial Measurement Techniques." In The Human Face, 119–30. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1063-5_6.

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Lee, Hsi-Jian, and Yu-Cheng Tsao. "Measurement of Face Recognizability for Visual Surveillance." In Pattern Recognition and Image Analysis, 287–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_32.

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Zhou, Mingquan, Xiaoning Liu, and Guohua Geng. "3D Face Recognition Based on Geometrical Measurement." In Advances in Biometric Person Authentication, 244–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30548-4_28.

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Annunziata, Anna, Maurizia Lanza, Antonio M. Esquinas, and Giuseppe Fiorentino. "Interface, Mouthpiece, Nasal Face and Alternative Interface." In Pulmonary Function Measurement in Noninvasive Ventilatory Support, 229–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76197-4_31.

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Saha, Kankan, Mrinal Kanti Bhowmik, and Debotosh Bhattacharjee. "Anthropometric Measurement of North-East Indian Faces for Forensic Face Analysis." In Studies in Computational Intelligence, 125–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05885-6_7.

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Kaya, Tunç Güven, and Engin Firat. "Multi-view Face Detection with One Classifier for Video Analytics Systems." In Video Analytics for Audience Measurement, 97–108. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12811-5_7.

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Polmar, Norman. "The Measurement of Naval Strength in the Twenty-First Century." In The Changing Face of Maritime Power, 126–36. London: Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1057/9780230509610_10.

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Li, Yigan, and Zhaohui Wang. "A Face Recognition Workflow Based Upon Similarity Measurement." In Biometric Recognition, 274–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31456-9_31.

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Conference papers on the topic "Face – Measurement"

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Lin, Chien-Liang, and Chun-Jen Chen. "3D face recognition system." In 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings. IEEE, 2010. http://dx.doi.org/10.1109/imtc.2010.5488159.

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Kamitomo, Hiroya, and Cunwei Lu. "Face detection and face authentication using 3D shape measurement system." In International Conference on Optical Instrumentation and Technology, edited by Toru Yoshizawa, Ping Wei, and Jesse Zheng. SPIE, 2009. http://dx.doi.org/10.1117/12.838070.

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Moe Ma Ma Tin and Myint Myint Sein. "Multi triangle based automatic face recognition system by using 3D geometric face feature." In 2009 IEEE Intrumentation and Measurement Technology Conference (I2MTC). IEEE, 2009. http://dx.doi.org/10.1109/imtc.2009.5168577.

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Pnevmatikakis, Aristodemos, Andreas Stergiou, Theodoros Petsatodis, and Nikos Katsarakis. "Visual measurement cues for face tracking." In 2013 18th International Conference on Digital Signal Processing (DSP). IEEE, 2013. http://dx.doi.org/10.1109/icdsp.2013.6622722.

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Alhammad, Sarah A. "Face Detection for Pulse Rate Measurement." In 2018 1st International Conference on Computer Applications & Information Security (ICCAIS). IEEE, 2018. http://dx.doi.org/10.1109/cais.2018.8442034.

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Cronin, L. B. "The changing face of measurement audits." In IEE Seminar on Measurement Dissemination by Transfer Methods. IEE, 1999. http://dx.doi.org/10.1049/ic:19990249.

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Chenggang Zhen and Yingmei Su. "Research about human face recognition technology." In 2009 International Conference on Test and Measurement (ICTM). IEEE, 2009. http://dx.doi.org/10.1109/ictm.2009.5412901.

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Jun, Zheng, Hua Jizhao, Tang Zhenglan, and Wang Feng. "Face detection based on LBP." In 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI). IEEE, 2017. http://dx.doi.org/10.1109/icemi.2017.8265841.

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Zhu, Qiang, Chau-Wai Wong, Chang-Hong Fu, and Min Wu. "Fitness heart rate measurement using face videos." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8296632.

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Fakhir, M. M., W. L. Woo, and S. S. Dlay. "Face Recognition Based on Features Measurement Technique." In 2014 European Modelling Symposium (EMS). IEEE, 2014. http://dx.doi.org/10.1109/ems.2014.54.

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Reports on the topic "Face – Measurement"

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Gehrke, R. J., R. S. Lawrence, and R. J. Pawelko. Results of performance tests on chemical and radiation measurement systems for use at a dig-face. Office of Scientific and Technical Information (OSTI), April 1995. http://dx.doi.org/10.2172/115568.

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Schafer, Edward, and Barry T. Bates. Anthropometric Comparisons between Face Measurements of Men and Women. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada204537.

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Carretero Gómez, Stephanie. Skills for Life: Digital Skills. Inter-American Development Bank, March 2021. http://dx.doi.org/10.18235/0003126.

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Digital skills are becoming more relevant than ever, because of the digital revolution that we are experiencing in the labor market, but also due to the accelerated needs for them that COVID-19 lockdown measures brought about. There have been efforts to help develop and assess digital skills. Yet, despite these efforts, many people still face difficulties in developing an appropriate level of digital skills. In this brief, I will discuss why digital skills are relevant in the 21st century and what it means. Then, I will explain how we can develop, train, and measure digital skills. Lastly, I will discuss the implications of training and measurement of digital skills.
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Punjabi, Maitri, Julianne Norman, Lauren Edwards, and Peter Muyingo. Using ACASI to Measure Gender-Based Violence in Ugandan Primary Schools. RTI Press, March 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0025.2104.

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School-related gender-based violence (SRGBV) remains difficult to measure because of high sensitivity and response bias. However, most SRGBV measurement relies on face-to-face (FTF) survey administration, which is susceptible to increased social desirability bias. Widely used in research on sensitive topics, Audio Computer-Assisted Self-Interview (ACASI) allows subjects to respond to pre-recorded questions on a computerized device, providing respondents with privacy and confidentiality. This brief contains the findings from a large-scale study conducted in Uganda in 2019 where primary grade 3 students were randomly selected to complete surveys using either ACASI or FTF administration. The surveys covered school climate, gender attitudes, social-emotional learning, and experiences of SRGBV. Through this study, we find that although most survey responses were comparable between ACASI and FTF groups, the reporting of experiences of sexual violence differed drastically: 43% of students in the FTF group versus 77% of students in the ACASI group reported experiencing sexual violence in the past school term. We also find that factor structures are similar for data collected with ACASI compared with data collected FTF, though there is weaker evidence for construct validity for both administration modes. We conclude that ACASI is a valuable tool in measuring sensitive sub-topics of SRGBV and should be utilized over FTF administration, although further psychometric testing of these surveys is recommended.
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Martinez, Carmen. Study of photolytic interference on HO measurements by LIF-FAGE. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5815.

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Bober, D. B. Local Crystallographic Orientation Correlation Measurements Connecting the Processing and Properties of Face-Centered Cubic Metals. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1583045.

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Khan, Amir Ullah. Islam and Good Governance: A Political Economy Perspective. IIIT, October 2020. http://dx.doi.org/10.47816/01.004.20.

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It is readily apparent to everyone that there are multiple and serious concerns that face Muslim societies today. Terrorism, civil strife, poverty, illiteracy, factionalism, gender injustices and poor healthcare are just a few of the challenges to governance across the Muslim world. These are core issues for governance and public administration in any form of government. However, before we can engage with good governance within the context of Islam, we need to be clear what mean by good governance itself. A simple definition of good governance is that of an institutionalised competency of administration and institution leading to efficient resource allocation and management[1]. Another way of looking at it is as a system which is defined by the existence of efficient and accountable institutions[2]. Civil society now tends to look at good governance by way of impact measurement and how a certain set of processes result in a set of measurable and desirable outcomes.
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Wang, C. M. Software for performing gray-scale measurements of optical fiber end faces. Gaithersburg, MD: National Bureau of Standards, 1994. http://dx.doi.org/10.6028/nist.tn.1370.

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Gay, D. W., and C. E. Jr Murphy. Measurement of the deposition and fate of {sup 35}SO{sub 2} in a pine plantation. Office of Scientific and Technical Information (OSTI), December 1988. http://dx.doi.org/10.2172/666264.

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Ripey, Mariya. NUMBERS IN THE NEWS TEXT (BASED ON MATERIAL OF ONE ISSUE OF NATIONWIDE NEWSPAPER “DAY”). Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11106.

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The article is devoted to the analysis of the digital content of publications of one issue of the daily All-Ukrainian newspaper “Den” (March 13-14, 2020). The author aims to identify the main thematic groups of digital designations, as well as to consider cases of justified and unsuccessful use of digital designations. Applying the content analysis method, the author identifies publications that contain numerical notations, determines the number of such notations and their affiliation with the main subject groups. Finds that the thematic group of digital designations “time” (58.6% of all digital designations) is much more dominant. This indicates that timing is the most important task of a newspaper text. The second largest group of digital designations is “measure” (15.8% of all digital designations). It covers dimensions and proportions, measurements of distance, weight, volume, and more. The third largest group of digital signage is money (8.2% of all digital signage), the fourth is numbering (5.2% of all digital signage), and the fifth is people (4.4% of all digital signage). The author focuses on the fact that the digits of the journalist’s text are both a source of information and a catch for the reader. Vivid indicators give the text a sense of accuracy. When referring digital data to the text, journalists must adhere to certain rules for the writing of ordinal numbers with incremental graduation; submission of dates; pointing to unique integers that are combined (or not combined) with units of physical quantities, monetary units, etc.; writing a numerator at the beginning of a sentence; unified presentation of data. This will greatly facilitate the reader’s perception of the information.
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