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Contributors. Preface. I: General issues. Experiences with Empirical Evaluation of Computer Vision Algorithms; K.W. Bowyer. Evaluation and Validation of Computer Vision Algorithms; P. Courtney. Databases for Performance Characterization; A.F. Clark, P. Courtney. Quality in Computer Vision; R. Marík. II: Methodical Aspects. The Role of Theory in the Evaluation of Image Motion Algorithms; S.S. Beauchemin, R. Bajcsy. Motion Extraction; L. Florack. Principles of Constructing a Performance Evaluation Prool for Graphics Recognition Algorithms; L. Wenyin, D. Dori. Dissimilarity Measures Between Gray-Scale Images as a Tool for Performance Assessment; P. Zamperoni. III: Statistical Aspects. Propagating Covariance in Computer Vision; R.M. Haralick. Input Guided Performance Evaluation; P. Meer, et al. Uncertainty Propagation in Shape Reconstruction and Moving Object Detection From Optical Flow; N. Ohta. IV: Comparative Studies. Performance Characteristics of Low-level Motion Estimators in Spatiotemporal Images; B. Jähne, H. Haussecker. Evaluation of Numerical Solution Schemes for Differential Equations; R. Kozera, R. Klette. Experimental Comparative Evaluation of Feature Point Tracking Algorithms; J. Verestóy, D. Chetverikov. V: Selected Methods and Algorithms. Evaluation of an Optical Flow Method for Measuring 2D and 3D Corn Seedling Growth; J.L. Barron, A. Liptay. Unsupervised Learning for Robust Texture Segmentation; J.M. Buhmann, J. Puzicha. Confidence of Ground Control for Validating Stereo Terrain Reconstruction; G. Gimel'farb. Performance Analysis of Shape Recovery by Random Sampling and Voting; A. Imiya, K. Kawamoto. Multigrid Convergence Based Evaluation of Surface Approximations; R. Klette, et al. Sensitivity Analysis of Projective Geometry 3D Reconstruction; M. Petrou, et al. A Systematic Approach to Error Sources for the Evaluation and Validation of a Binocular Vision System for Robot Control; D. Richter. VI: Domain-specific Evaluation: Medical Imaging. Error Metrics for Quantitative Evaluation of Medical Image Segmentation; W.J. Niessen, et al. Performance Characterization of Landmark Operators; K. Rohr, et al. Model-based Evaluation of Image Segmentation Methods; K.L. Vincken, et al. Index.
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Add Performance Characterization in Computer Vision, This book addresses a subject which has been discussed intensively in the computer vision community for several years. Performance characterization and evaluation of computer vision algorithms are of key importance, particularly with respect to the config, Performance Characterization in Computer Vision to the inventory that you are selling on WonderClubX
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Add Performance Characterization in Computer Vision, This book addresses a subject which has been discussed intensively in the computer vision community for several years. Performance characterization and evaluation of computer vision algorithms are of key importance, particularly with respect to the config, Performance Characterization in Computer Vision to your collection on WonderClub |