Handbook of Mathematical Models in Computer Vision

Handbook of Mathematical Models in Computer Vision


Yazar Nikos Paragios Yunmei Chen Olivier D. Faugeras
Yayınevi Springer
ISBN 9780387263717
Baskı yılı 2005
Sayfa sayısı 640
Ağırlık 0.98 kg
Stok durumu Var    Stok detayları
Kargoya teslim Aynı gün kargo

Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math- ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro- ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marrs theory v^as a pioneering step tov^ards understanding visual percep- tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet- ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg- ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.
1 Diffusion filters and wavelets : what can they learn from each other? by J. Weickert and G. Steidl and P. Mrazek and M. Welk and T. Brox 3
2 Total variation image restoration : overview and recent developments by T. Chan and S. Esedoglu and F. Park and A. Yip 17
3 PDE-based image and surface inpainting by M. Bertalmio and V. Caselles and G. Haro and G. Sapiro 33
4 Levelings : theory and practice by A. Meyer 65
5 Graph cuts in vision and graphics : theories and applications by Y. Boykov and O. Veksler 79
6 Minimal paths and fast marching methods for image analysis by L. Cohen 97
7 Integrating shape and texture in deformable models : from hybrid methods to metamorphs by D. Metaxas and X. Huang and T. Chen 113
8 Variational segmentation with shape priors by M. Bergtholdt and D. Cremers and C. Schnorr 131
9 Curve propagation, level set methods and grouping by N. Paragios 145
10 On a stochastic model of geometric snakes by A. Yezzi and D. Nain and G. Unal and O. Zeitouni and A. Tannenbaum 161
11 Invariant processing and occlusion resistant recognition of planar shapes by A. Bruckstein 177
12 Planar shape analysis and its applications in image-based inferences by A. Srivastava and S. Joshi and D. Kaziska and D. Wilson 189
13 Diffeomorphic point matching by H. Guo and A. Rangarajan and S. Joshi 205
14 Uncertainty-driven, point-based image registration by C. Stewart 221
15 Optical flow estimation by D. Fleet and Y. Weiss 239
16 From Bayes to PDEs in image warping by M. Nielsen and B. Markussen 259
17 Image alignment and stitching by R. Szeliski 273
18 Visual tracking : a short research roadmap by A. Blake 293
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cardFinans
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12 ay 480.69 TL 5768.31 TL

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Kredi Kartı (Tek Çekim)
Kredi Kartı (Tek Çekim)

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