Mathematical Methods in Computer Vision

Name: Mathematical Methods in Computer Vision
Brand: Springer, Berlin
SKU: 9781441918260
Price: 38497 HUF
Availability: InStock

Szerző: Peter J. Olver, Allen Tannenbaum

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

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This volume comprises some of the key work presented at two IMA §Workshops on Computer Vision during...

Információk a könyvről

Szerző

Peter J. Olver, Allen Tannenbaum

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

156

EAN

9781441918260

ISBN

1441918264

Enbook ID

01420750

Kiadó

Springer, Berlin

Súly

251

Méretek

158 x 234 x 9

Teljes leírás

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.

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Mathematical Methods in Computer Vision

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