Auswahl der wissenschaftlichen Literatur zum Thema „Force histogram“
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Zeitschriftenartikel zum Thema "Force histogram"
Xue, Hao, und Hong Jun Fu. „Characterization of the Interphase in Carbon Fiber/Epoxy Composites Using Force Modulation Atomic Force Microscope“. Advanced Materials Research 602-604 (Dezember 2012): 53–56. http://dx.doi.org/10.4028/www.scientific.net/amr.602-604.53.
Der volle Inhalt der QuelleLelièvre, Tony, Lise Maurin und Pierre Monmarché. „The adaptive biasing force algorithm with non-conservative forces and related topics“. ESAIM: Mathematical Modelling and Numerical Analysis 56, Nr. 2 (28.02.2022): 529–64. http://dx.doi.org/10.1051/m2an/2022010.
Der volle Inhalt der QuelleYang, Guifeng, Jiulun Fan und Dong Wang. „Recursive Algorithms of Maximum Entropy Thresholding on Circular Histogram“. Mathematical Problems in Engineering 2021 (24.03.2021): 1–13. http://dx.doi.org/10.1155/2021/6653031.
Der volle Inhalt der QuelleChapple, William D. „Regulation of Muscle Stiffness During Periodic Length Changes in the Isolated Abdomen of the Hermit Crab“. Journal of Neurophysiology 78, Nr. 3 (01.09.1997): 1491–503. http://dx.doi.org/10.1152/jn.1997.78.3.1491.
Der volle Inhalt der QuelleJanosi, Lorant, und Manolis Doxastakis. „Accelerating flat-histogram methods for potential of mean force calculations“. Journal of Chemical Physics 131, Nr. 5 (2009): 054105. http://dx.doi.org/10.1063/1.3183165.
Der volle Inhalt der QuelleChirico, Giuseppe. „Effect of a trapping force on a photon-counting histogram“. Applied Optics 41, Nr. 4 (01.02.2002): 593. http://dx.doi.org/10.1364/ao.41.000593.
Der volle Inhalt der QuelleStevens, Forrest, Yu-Shiu Lo, Joel M. Harris und Thomas P. Beebe. „Computer Modeling of Atomic Force Microscopy Force Measurements: Comparisons of Poisson, Histogram, and Continuum Methods“. Langmuir 15, Nr. 1 (Januar 1999): 207–13. http://dx.doi.org/10.1021/la980683k.
Der volle Inhalt der QuelleJun, Zhang, Chang Qingbing und Ren Zongjin. „Research on a non-linear calibration method for dynamometer“. Sensor Review 40, Nr. 2 (09.03.2020): 167–73. http://dx.doi.org/10.1108/sr-07-2019-0181.
Der volle Inhalt der QuelleSongneam, Nattapong. „Thai Sign Language Image Recognition for the Hearing-Impaired using Radial Inverse Force Histogram combined with Max-Min Boundary“. International Journal of Engineering and Advanced Technology 10, Nr. 5 (30.06.2021): 422–33. http://dx.doi.org/10.35940/ijeat.e2868.0610521.
Der volle Inhalt der QuelleTabbone, Salvatore, und Laurent Wendling. „Color and grey level object retrieval using a 3D representation of force histogram“. Image and Vision Computing 21, Nr. 6 (Juni 2003): 483–95. http://dx.doi.org/10.1016/s0262-8856(03)00016-7.
Der volle Inhalt der QuelleDissertationen zum Thema "Force histogram"
Deléarde, Robin. „Configurations spatiales et segmentation pour la compréhension de scènes, application à la ré-identification“. Electronic Thesis or Diss., Université Paris Cité, 2022. http://www.theses.fr/2022UNIP7020.
Der volle Inhalt der QuelleModeling the spatial configuration of objects in an image is a subject that is still little discussed to date, including in the most modern computer vision approaches such as convolutional neural networks ,(CNN). However, it is an essential aspect of scene perception, and integrating it into the models should benefit many tasks in the field, by helping to bridge the “semantic gap” between the digital image and the interpretation of its content. Thus, this thesis aims to improve spatial configuration modeling ,techniques, in order to exploit it in description and recognition systems. ,First, we looked at the case of the spatial configuration between two objects, by proposing an improvement of an existing descriptor. This new descriptor called “force banner” is an extension of the histogram of the same name to a whole range of forces, which makes it possible to better describe complex configurations. We were able to show its interest in the description of scenes, by learning toautomatically classify relations in natural language from pairs of segmented objects. We then tackled the problem of the transition to scenes containing several objects and proposed an approach per object by confronting each object with all the others, rather than having one descriptor per pair. Secondly, the industrial context of this thesis led us to deal with an application to the problem of re-identification of scenes or objects, a task which is similar to fine recognition from few examples. To do so, we rely on a traditional approach by describing scene components with different descriptors dedicated to specific characteristics, such as color or shape, to which we add the spatial configuration. The comparison of two scenes is then achieved by matching their components thanks to these characteristics, using the Hungarian algorithm for instance. Different combinations of characteristics can be considered for the matching and for the final score, depending on the present and desired invariances. For each one of these two topics, we had to cope with the problems of data and segmentation. We then generated and annotated a synthetic dataset, and exploited two existing datasets by segmenting them, in two different frameworks. The first approach concerns object-background segmentation and more precisely the case where a detection is available, which may help the segmentation. It consists in using an existing global segmentation model and exploiting the detection to select the right segment, by using several geometric and semantic criteria. The second approach concerns the decomposition of a scene or an object into parts and addresses the unsupervised case. It is based on the color of the pixels, by using a clustering method in an adapted color space, such as the HSV cone that we used. All these works have shown the possibility of using the spatial configuration for the description of real scenes containing several objects, as well as in a complex processing chain such as the one we used for re-identification. In particular, the force histogram could be used for this, which makes it possible to take advantage of its good performance, by using a segmentation method adapted to the use case when processing natural images
Schiele, Bernt. „Reconnaissance d'objets utilisant des histogrammes multidimensionnels de champs réceptifs“. Phd thesis, Grenoble INPG, 1997. http://www.theses.fr/1997INPG0093.
Der volle Inhalt der QuelleDuring the last few years, there has been a growing interest in object recognition schemes directly based on images, each corresponding to a particular appearance of the object. Representations of objects, which only use information of images are called "appearance based" models. The interest in such representation schemes is due to their robustness, speed and success in recognizing objects. The thesis proposes a framework for the statistical representation of appearances of 3D objects. The representation consists of a probability density function over a set of robust local shape descriptors which can be extracted reliable from images. The object representation is therefore learned automatically from sample images. Multidimensional receptive field histograms are introduced for the approximation of the probability density function. A main result of the thesis is that such a representation scheme based on local object descriptors provides a reliable means for object representation and recognition. Different recognition algorithms are proposed and experimentally evaluated. The first recognition algorithm by histogram matching can be seen as the generalization of the color indexing scheme of Swain and Ballard. The second recognition algorithm calculates probabilities for the presence of objects only based on multidimensional receptive field histograms. The most remarkable property of the algorithm is that he does not rely neither on correspondence nor on figure ground segmentation. Experiments show the capability of the algorithm to recognize 100 objects in cluttered scenes. The third recognition algorithm incorporates several viewpoints in an active recognition framework in order to solve ambiguities inherent in single view recognition schemes. The thesis also proposes visual classes as a general framework for appearance based object classification. Classification has been proven difficult for arbitrary objects due to instabilities of invariant representations. The proposed concepts for extraction, representation and recognition of visual classes provide a general framework for object classification. The thesis aims, from an abstract point of view, to push the limits of the appearance based paradigm without using neither figure ground segmentation nor correspondence. The active object recognition allows the consistent recognition of objects in 3D and therefore overcomes the limits of single view recognition. The appearance based classification framework based on the concept of visual classes will serve for future research
Rivollier, Séverine. „Analyse d’image geometrique et morphometrique par diagrammes de forme et voisinages adaptatifs generaux“. Thesis, Saint-Etienne, EMSE, 2010. http://www.theses.fr/2010EMSE0575/document.
Der volle Inhalt der QuelleMinkowski functionals define set topological and geometrical measurements, insufficient for the characterization, because different sets may have the same functionals. Thus, other shape functionals, geometrical and morphometrical are used. A shape diagram, defined thanks to two morphometrical functionals, provides a representation allowing the study of set shapes. In quantitative image analysis, these functionals and diagrams are often limited to binary images and achieved in a global and monoscale way. The General Adaptive Neighborhoods (GANs) simultaneously adaptive with the analyzing scales, the spatial structures and the image intensities, enable to overcome these limitations. The GAN-based Minkowski functionals are introduced, which allow a gray-tone image analysis to be realized in a local, adaptive and multiscale way.The GANs, defined around each point of the spatial support of a gray-tone image, are homogeneous with respect to an analyzing criterion function represented in an algebraic model, according to an homogeneity tolerance. The shape functionals computed on the GAN of each point of the spatial support of the image, define the so-called GAN-based shape maps. The map histograms and diagrams provide statistical distributions of the shape of the gray-tone image local structures, contrary to the classical histogram that provides a global distribution of image intensities. The impact of axiomatic criteria variations is analyzed through these maps, histograms and diagrams. Thus, multiscale maps are built, defining GAN-based shape functions
Haddad, Raja. „Apprentissage supervisé de données symboliques et l'adaptation aux données massives et distribuées“. Thesis, Paris Sciences et Lettres (ComUE), 2016. http://www.theses.fr/2016PSLED028/document.
Der volle Inhalt der QuelleThis Thesis proposes new supervised methods for Symbolic Data Analysis (SDA) and extends this domain to Big Data. We start by creating a supervised method called HistSyr that converts automatically continuous variables to the most discriminant histograms for classes of individuals. We also propose a new method of symbolic decision trees that we call SyrTree. SyrTree accepts many types of inputs and target variables and can use all symbolic variables describing the target to construct the decision tree. Finally, we extend HistSyr to Big Data, by creating a distributed method called CloudHistSyr. Using the Map/Reduce framework, CloudHistSyr creates of the most discriminant histograms for data too big for HistSyr. We tested CloudHistSyr on Amazon Web Services. We show the efficiency of our method on simulated data and on actual car traffic data in Nantes. We conclude on overall utility of CloudHistSyr which, through its results, allows the study of massive data using existing symbolic analysis methods
Martínez-García, Marina. „Statistical analysis of neural correlates in decision-making“. Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/283111.
Der volle Inhalt der QuelleDurant aquesta tesi hem investigat els processos neuronals que es pro- dueixen durant tasques de presa de decisions, tasques basades en un ju- dici l ogic de classi caci o perceptual. Per a aquest prop osit hem analitzat tres paradigmes experimentals diferents (somatosensorial, visual i auditiu) en dues espcies diferents (micos i rates), amb l'objectiu d'il.lustrar com les neurones codi quen informaci on referents a les t asques. En particular, ens hem centrat en com certes informacions estan cod- i cades en l'activitat neuronal al llarg del temps. Concretament, com la informaci o sobre: la decisi o comportamental, els factors externs, i la con- ana en la resposta, b e codi cada en la mem oria. A m es a m es, quan el paradigma experimental ens ho va permetre, com l'atenci o modula aquests aspectes. Finalment, hem anat un pas m es enll a, i hem analitzat la comu- nicaci o entre les diferents arees corticals, mentre els subjectes resolien una tasca de presa de decisions.
Nien, Chi-chiao, und 粘智超. „Using Force Histogram in Retrieving Fuzzy Spatial Relationship“. Thesis, 2005. http://ndltd.ncl.edu.tw/handle/00509881555053676889.
Der volle Inhalt der Quelle淡江大學
資訊管理學系碩士班
93
With the popularity of digital image generation and processing tools, huge miscellaneous rich image data have been produced. How to effectively retrieve images from the huge image databases has become an important subject. In the early stage, image retrieval was achieved by matching keywords with image description text. However, the manual input of image description is not only too subjective, but also spends a lot of time, money and manpower. Thus, several researchers proposed successively retrieval methods based on the image content, such as color, texture, shapes of objects, spatial relationships of objects, etc. To obtain a better matching of spatial relationships, we propose several fuzzy spatial relationship characteristic values based on the force histograms among the objects in the images. These values are further used to compute the similarity of two images. This method, compared with direct histogram matching, has the following advantages: (1) It has better computational efficiency; (2) It could precompute the characteristic values of the spatial relationships and and store them in the database, which tremendously saves time in retrieving similar images; (3) These characteristic values are associated with more human-reasonable semantic meanings. Lastly, we demonstrate the use of fuzzy directional, surrounding and distance spatial relationships in image retrieval. The results illustrate that these fuzzy spatial relationships can extract the difference of the spatial relationship among the images more completely. We hope this system could be applied to semantic retrieval of the images in the future.
Buchteile zum Thema "Force histogram"
Santosh, K. C., und Laurent Wendling. „Automated Chest X-ray Image View Classification using Force Histogram“. In Communications in Computer and Information Science, 333–42. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4859-3_30.
Der volle Inhalt der QuelleDebled-Rennesson, Isabelle, und Laurent Wendling. „Extraction of Successive Patterns in Document Images by a New Concept Based on Force Histogram and Thick Discrete Lines“. In Image Analysis and Processing — ICIAP 2015, 387–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23231-7_35.
Der volle Inhalt der QuelleMatsakis, Pascal. „Understanding the Spatial Organization of Image Regions by Means of Force Histograms: A Guided Tour“. In Applying Soft Computing in Defining Spatial Relations, 99–122. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1752-2_5.
Der volle Inhalt der Quelle„Force Histograms and Radial Density for Invariant Image Retrieval“. In International Conference on Advanced Computer Theory and Engineering (ICACTE 2009), 95–102. ASME Press, 2009. http://dx.doi.org/10.1115/1.802977.paper11.
Der volle Inhalt der QuelleZaibi, Ghada, Fabrice Peyrard, Abdennaceur Kachouri, Danièle Fournier-Prunaret und Mounir Samet. „A New Encryption Algorithm based on Chaotic Map for Wireless Sensor Network“. In Architectures and Protocols for Secure Information Technology Infrastructures, 103–23. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4514-1.ch004.
Der volle Inhalt der QuelleGoldman, N., und R. J. Saykally. „Elucidating the role of many-body forces in liquid water. I. Simulations of water clusters on the VRT(ASP-W) potential surfaces“. In Quantum Monte Carlo, 148. Oxford University PressNew York, NY, 2007. http://dx.doi.org/10.1093/oso/9780195310108.003.00152.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Force histogram"
Kim, K. L., und J. E. Huber. „Observation of the Poling Process in Ferroelectric Ceramics Using Piezoresponse Force Microscopy“. In ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/smasis2012-8037.
Der volle Inhalt der QuelleDebled-Rennesson, Isabelle, und Laurent Wendling. „Combining Force Histogram and Discrete Lines to Extract Dashed Lines“. In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.389.
Der volle Inhalt der QuelleKaur, Jaspinder, Tyler Laforet und Pascal Matsakis. „Fast Fourier Transform based Force Histogram Computation for 3D Raster Data“. In 9th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0008985100690074.
Der volle Inhalt der QuelleKim, Youngbae, Jin-Hwan Kim und Chang-Su Kim. „VGEF: Contrast enhancement of dark images using value gap expansion force and sorted histogram equalization“. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). IEEE, 2014. http://dx.doi.org/10.1109/apsipa.2014.7041718.
Der volle Inhalt der QuelleTateishi, Atsushi, Toshinori Watanabe, Takehiro Himeno, Mizuho Aotsuka und Takeshi Murooka. „Statistical Sensitivity Study of Frequency Mistuning on the Prediction of the Flutter Boundary in a Transonic Fan“. In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57295.
Der volle Inhalt der QuelleLi, Yixian, Limin Sun und Wei Zhang. „Structural response reconstruction using inclinometer and velocimeter“. In IABSE Congress, New York, New York 2019: The Evolving Metropolis. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.1977.
Der volle Inhalt der QuelleHosseini, Sayedmohammad, Arash Hosseinian Ahangarnejad, Ahmad Radmehr, Ali Tajaddini und Mehdi Ahmadian. „A Statistical Approach to Evaluating Wheel-Rail Contact Dynamics“. In 2021 Joint Rail Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/jrc2021-58381.
Der volle Inhalt der QuelleJingbo Ni und Pascal Matsakis. „Force histograms computed in O(NlogN)“. In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761010.
Der volle Inhalt der QuelleJazouli, M., J. Wadsworth und P. Matsakis. „Normalization of the Histogram of Forces“. In 8th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007397406300639.
Der volle Inhalt der QuelleKimpan, Somchok, Noppadol Maneerat und Chom Kimpan. „Diabetic retinopathy image analysis using radial inverse force histograms“. In 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2017. http://dx.doi.org/10.1109/iciibms.2017.8279708.
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