Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Gang Xu; Zhengyou Zhang Название: Epipolar Geometry in Stereo, Motion and Object Recognition ISBN: 0792341996 ISBN-13(EAN): 9780792341994 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.
Автор: Kumar Название: Correlation Pattern Recognition ISBN: 0521153484 ISBN-13(EAN): 9780521153485 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.
Автор: Gang Xu; Zhengyou Zhang Название: Epipolar Geometry in Stereo, Motion and Object Recognition ISBN: 9048147433 ISBN-13(EAN): 9789048147434 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.
Автор: Walter Kropatsch; Nicole M. Artner; Yll Haxhimusa; Название: Graph-Based Representations in Pattern Recognition ISBN: 3642382207 ISBN-13(EAN): 9783642382208 Издательство: Springer Рейтинг: Цена: 42860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 9th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2013, held in Vienna, Austria, in May 2013. They are organized in topical sections named: finding subregions in graphs; graph representations, segmentation and shape; and search in graphs.
Автор: Andrea Torsello; Francisco Escolano Ruiz; Luc Brun Название: Graph-Based Representations in Pattern Recognition ISBN: 3642021239 ISBN-13(EAN): 9783642021237 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.
Автор: Okechukwu A. Uwechue; Abhijit S. Pandya Название: Human Face Recognition Using Third-Order Synthetic Neural Networks ISBN: 1461368324 ISBN-13(EAN): 9781461368328 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns.
Автор: Anand Rangarajan; M?rio A. T. Figueiredo; Josiane Название: Energy Minimization Methods in Computer Vision and Pattern Recognition ISBN: 3540404988 ISBN-13(EAN): 9783540404989 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume consists of the 33 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2003)which was held at Instituto Superior T ecnico (IST), the - gineeringSchooloftheTechnicalUniversityofLisbon, PortugalduringJuly7-9, 2003.Thisworkshopwasthefourthinthe serieswhichstartedwithEMMCVPR 1997 held in Venice, Italy in May 1997 and continued with EMMCVPR 1999 held in York, UK in July 1999 and EMMCVPR 2001 held in Sophia-Antipolis, France in September 2001. Many problems in computer vision and pattern recognition (CVPR) are couchedintheframeworkofoptimization.Theminimizationofaglobalquantity, often referred to as the energy, forms the bulwark of most approachesin CVPR. Disparate approaches, such as discrete and probabilistic formulations on the one hand and continuous, deterministic strategies on the other, often have optimi- tion or energy minimization as a common theme. Instances of energy minimi- tion arise in Gibbs/Markov modeling, Bayesian decision theory, geometric and variational approaches and in areas in CVPR such as object recognition and - trieval, image segmentation, registration, reconstruction, classi?cation and data mining. The aim of the EMMCVPR workshops is to bring together researchers with interests in these disparate areas of CVPR but with an underlying commitment to some form of energy minimization. Although the subject is traditionally well representedinmajorinternationalconferencesonCVPR, thisworkshopprovides a forum wherein researchers can report their recent work and engage in more informal discussions.
Автор: Ana Fred; Maria De Marsico Название: Pattern Recognition Applications and Methods ISBN: 3319126091 ISBN-13(EAN): 9783319126098 Издательство: Springer Рейтинг: Цена: 148020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains the extended and revised versions of a set of selected papers from the 2nd International Conference on Pattern Recognition (ICPRAM 2013), held in Barcelona, Spain, from 15 to 18 February, 2013.
Название: Face Recognition in Adverse Conditions ISBN: 1466659661 ISBN-13(EAN): 9781466659667 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 228230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings.Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition.
Автор: Jens Spehr Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities ISBN: 3319113240 ISBN-13(EAN): 9783319113241 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.
Автор: Md. Atiqur Rahman Ahad Название: Computer Vision and Action Recognition ISBN: 9462390584 ISBN-13(EAN): 9789462390584 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance.
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