Mathematical Methods in Computer Vision

Peter J. Olver

ISBN 10: 1441918264 / ISBN 13: 9781441918260

Verlag: Springer-Verlag New York Inc., 2010

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 281. Bestandsnummer des Verkäufers C9781441918260

Inhaltsangabe:

This volume contains papers presented at two successful workshops integral to the IMA annual program on Mathematics in Multimedia, 2000- 2001: Image Processing and Low Level Vision, and Image Analysis and High Level Vision.

Reseña del editor: This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000. Recent years have seen significant advances in the application of sophisticated mathematical theories to the problems arising in image processing. Basic issues include image smoothing and denoising, image enhancement, morphology, image compression, and segmentation (determining boundaries of objects-including problems of camera distortion and partial occlusion). Several mathematical approaches have emerged, including methods based on nonlinear partial differential equations, stochastic and statistical methods, and signal processing techniques, including wavelets and other transform theories. Shape theory is of fundamental importance since it is the bottleneck between high and low level vision, and formed the bridge between the two workshops on vision. The recent geometric partial differential equation methods have been essential in throwing new light on this very difficult problem area. Further, stochastic processes, including Markov random fields, have been used in a Bayesian framework to incorporate prior constraints on smoothness and the regularities of discontinuities into algorithms for image restoration and reconstruction. A number of applications are considered including optical character and handwriting recognizers, printed-circuit board inspection systems and quality control devices, motion detection, robotic control by visual feedback, reconstruction of objects from stereoscopic view and/or motion, autonomous road vehicles, and many others.

Bibliografische Details

Titel: Mathematical Methods in Computer Vision
Verlag: Springer-Verlag New York Inc.
Erscheinungsdatum: 2010
Einband: Paperback / softback
Zustand: New