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Integrating Graphics and Vision for Object Recognition, Mark R. Stevens; J. Ross Beveridge


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Автор: Mark R. Stevens; J. Ross Beveridge
Название:  Integrating Graphics and Vision for Object Recognition
ISBN: 9780792372073
Издательство: Springer
Классификация:
ISBN-10: 0792372077
Обложка/Формат: Hardcover
Страницы: 184
Вес: 0.46 кг.
Дата издания: 31.10.2000
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 234 x 156 x 13
Основная тема: Computer Science
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis.


Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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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.

Computer Vision and Action Recognition

Автор: Md. Atiqur Rahman Ahad
Название: Computer Vision and Action Recognition
ISBN: 9462390584 ISBN-13(EAN): 9789462390584
Издательство: Springer
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Цена: 13974.00 р.
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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.

Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging

Автор: Bjoern Menze; Georg Langs; Le Lu; Albert Montillo;
Название: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging
ISBN: 3642366198 ISBN-13(EAN): 9783642366192
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed workshop proceedings of the Second International Workshop on Medical Computer Vision, MCV 2012, held in Nice, France, October 2012 in conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Daniel Cremers; Yuri Boykov; Andrew Blake; Frank R
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3642036406 ISBN-13(EAN): 9783642036408
Издательство: Springer
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Цена: 13974.00 р.
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Описание: 7th International Conference EMMCVPR 2009 Bonn Germany August 2427 2009 Proceedings. .

Integrating Graphics and Vision for Object Recognition

Автор: Mark R. Stevens; J. Ross Beveridge
Название: Integrating Graphics and Vision for Object Recognition
ISBN: 1441948600 ISBN-13(EAN): 9781441948601
Издательство: Springer
Рейтинг:
Цена: 23751.00 р.
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Описание: Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin.

Robotic Object Recognition Using Vision and Touch

Автор: Peter K. Allen
Название: Robotic Object Recognition Using Vision and Touch
ISBN: 1461291968 ISBN-13(EAN): 9781461291961
Издательство: Springer
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Цена: 16070.00 р.
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Описание: CHAPTER 7: MATCHING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 7. 1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 7. 2 Design of the matcher . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 7. 3 Model instantiation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 7. 3. 1 Discrimination by size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 7. 3. 2 Discrimination by gross shape . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 7. 3. 3 Feature attribute matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 7. 3. 4 Surface attribute matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 7. 3. 5 Classifying surfaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 7. 3. 6 Relational consistency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 7. 3. 7 Ordering matches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 7. 4 Verification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 7. 4. 1 Computing model-to-scene transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 7. 4. 2 Matching feature frames . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 7. 4. 3 Matching surface frames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 7. 4. 4 Verification sensing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 7. 5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 CHAPTER 8: EXPERIMENTAL RESULTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 8. 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 8. 2 Experiment 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 8. 3 Experiment 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 8. 4 Experiment 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 8. 5 Experiment 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 8. 6 Experiment 5 . . . . . . . . . .

Graphics Recognition: Achievements, Challenges, and Evolution

Автор: Jean-Marc Ogier; Wenyin Liu; Josep Llados
Название: Graphics Recognition: Achievements, Challenges, and Evolution
ISBN: 364213727X ISBN-13(EAN): 9783642137273
Издательство: Springer
Рейтинг:
Цена: 9781.00 р.
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Описание: This book contains refereed and improved papers presented at the 8th IAPR Workshop on Graphics Recognition (GREC 2009), held in La Rochelle, France, July 22-23, 2009. GREC 2009 continued the tradition of past workshops held in the Penn State University, USA (GREC 1995, LNCS Volume 1072, Springer Verlag, 1996);

Epipolar Geometry in Stereo, Motion and Object Recognition

Автор: Gang Xu; Zhengyou Zhang
Название: Epipolar Geometry in Stereo, Motion and Object Recognition
ISBN: 9048147433 ISBN-13(EAN): 9789048147434
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
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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.

Energy Minimization Methods in Computer Vision and Pattern Recognition

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
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Цена: 15372.00 р.
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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.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Edwin R. Hancock; Marcello Pelillo
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3540662944 ISBN-13(EAN): 9783540662945
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This volume covers the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, held in York in July 1999. It includes sections on minimum description length, Markov random fields, contours, search and consistent labelling, and tracking and video.

Epipolar Geometry in Stereo, Motion and Object Recognition

Автор: Gang Xu; Zhengyou Zhang
Название: Epipolar Geometry in Stereo, Motion and Object Recognition
ISBN: 0792341996 ISBN-13(EAN): 9780792341994
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
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.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Anders Heyden; Fredrik Kahl; Carl Olsson; Magnus O
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3642403948 ISBN-13(EAN): 9783642403941
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Описание: This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The papers are organized in topical sections on Medical Imaging;


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