Download ebook Artificial Neural Networks for Computer Vision
Download ebook Artificial Neural Networks for Computer Vision
Artificial Neural Networks for Computer Vision.cRamalingam Chellappa
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Author: Ramalingam Chellappa
Page Count: 170 pages
Published Date: 01 Feb 1992
Publisher: Springer New York
Publication Country: New York, NY, United States
Language: English
Format: eBook
ISBN: 9780387976839
File Name: Artificial.Neural.Networks.for.Computer.Vision.pdf
Download Link: Artificial Neural Networks for Computer Vision
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This monograph is an outgrowth of the authors' recent research on the de velopment of algorithms for several low-level vision problems using artificial neural networks. Specific problems considered are static and motion stereo, computation of optical flow, and deblurring an image. From a mathematical point of view, these inverse problems are ill-posed according to Hadamard. Researchers in computer vision have taken the "regularization" approach to these problems, where one comes up with an appropriate energy or cost function and finds a minimum. Additional constraints such as smoothness, integrability of surfaces, and preservation of discontinuities are added to the cost function explicitly or implicitly. Depending on the nature of the inver sion to be performed and the constraints, the cost function could exhibit several minima. Optimization of such nonconvex functions can be quite involved. Although progress has been made in making techniques such as simulated annealing computationally more reasonable, it is our view that one can often find satisfactory solutions using deterministic optimization algorithms."
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Artificial Neural Networks for Computer Vision.cRamalingam Chellappa
Author: Ramalingam Chellappa
Page Count: 170 pages
Published Date: 01 Feb 1992
Publisher: Springer New York
Publication Country: New York, NY, United States
Language: English
Format: eBook
ISBN: 9780387976839
File Name: Artificial.Neural.Networks.for.Computer.Vision.pdf
Download Link: Artificial Neural Networks for Computer Vision
---------------------------------------------------------------
This monograph is an outgrowth of the authors' recent research on the de velopment of algorithms for several low-level vision problems using artificial neural networks. Specific problems considered are static and motion stereo, computation of optical flow, and deblurring an image. From a mathematical point of view, these inverse problems are ill-posed according to Hadamard. Researchers in computer vision have taken the "regularization" approach to these problems, where one comes up with an appropriate energy or cost function and finds a minimum. Additional constraints such as smoothness, integrability of surfaces, and preservation of discontinuities are added to the cost function explicitly or implicitly. Depending on the nature of the inver sion to be performed and the constraints, the cost function could exhibit several minima. Optimization of such nonconvex functions can be quite involved. Although progress has been made in making techniques such as simulated annealing computationally more reasonable, it is our view that one can often find satisfactory solutions using deterministic optimization algorithms."
Read online Artificial Neural Networks for Computer Vision Buy and read online Artificial Neural Networks for Computer Vision Download Artificial Neural Networks for Computer Vision ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook Artificial Neural Networks for Computer Vision ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
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