Posted by **libr** at Sept. 28, 2017

English | ISBN 10: 0262015773 | 2011 | PDF | 472 pages | 5,3 MB

Posted by **ChrisRedfield** at Jan. 21, 2017

Published: 2015-01-29 | ISBN: 331914913X | PDF | 51 pages | 2.63 MB

Posted by **enmoys** at March 1, 2015

2015 | 60 Pages | ISBN: 331914913X | PDF | 3 MB

Posted by **tanas.olesya** at Feb. 26, 2015

English | June 1980 | ISBN: 0821850016 | 147 Pages | PDF | 6 MB

The study of Markov random fields has brought exciting new problems to probability theory which are being developed in parallel with basic investigation in other disciplines, most notably physics. The mathematical and physical literature is often quite technical. This book aims at a more gentle introduction to these new areas of research.

Posted by **ChrisRedfield** at Nov. 6, 2014

Published: 2005-02-18 | ISBN: 1584884320 | PDF + DJVU | 280 pages | 8 MB

Posted by **interes** at Aug. 11, 2014

English | ISBN 10: 0262015773 | 2011 | PDF | 472 pages | 5,3 MB

This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images.

Posted by **step778** at Oct. 8, 2013

1980 | pages: 147 | ISBN: 0821850016 | PDF | 7 mb

Posted by **avava** at Oct. 20, 2011

Publisher: The MIT Press | ISBN 10: 0262015773 | 200 | PDF | 472 pages | 5.3 MB

Posted by **exLib** at Dec. 9, 2017

ITexLi | 2011 | ISBN: 9533075163 9789533075167 | 362 pages | PDF | 57 MB

The book presents a wide range of innovative research ideas and current trends in stereo vision. The topics covered in this book encapsulate research trends from fundamental theoretical aspects of robust stereo correspondence estimation to the establishment of novel and robust algorithms as well as applications in a wide range of disciplines.

Posted by **insetes** at Nov. 21, 2015

2015 | 267 Pages | ISBN: 1447166981 | PDF | 6 MB