Posted by **interes** at Dec. 24, 2016

English | ISBN: 0470643854 | 2010 | EPUB | 504 pages | 20 MB

Posted by **tarantoga** at July 4, 2014

ISBN: 0470643854 | 2010 | EPUB | 504 pages | 20 MB

Posted by **enmoys** at Nov. 30, 2012

2010 | 504 Pages | ISBN: 0470643854 | PDF | 7 MB

Posted by **tarantoga** at Dec. 9, 2011

Publisher: A.l.nt.s P.e.s | ISBN: 9491216198 | 2011 | PDF | 228 pages | 11 MB

Posted by **DZ123** at April 19, 2015

English | 2009 | ISBN: 1848822987 | PDF | pages: 468 | 18,7 mb

Posted by **step778** at April 24, 2013

2006 | pages: 396 | ISBN: 3540273220 | PDF | 7 mb

Posted by **lenami** at Jan. 29, 2011

Publisher: Springer | ISBN: 3540273220 | edition 2006 | PDF | 396 pages | 10,3 mb

This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept. The topics presented include Hilbert spaces, the Fourier transform, scale analysis, direction fields, structure tensors, motion tensors, the Hough transform, grouping, and segmentation. Directional signal processing, an increasingly crucial element of computer vision for which neural circuits exist in human vision, is dealt with in depth by use of tensors.

Posted by **step778** at Jan. 12, 2010

Publisher: Springer | pages: 470 | 2009 | ISBN: 1848822987 | PDF | 31,5 mb

Tensor signal processing is an emerging field with important applications to computer vision and image processing. This book presents the state of the art in this new branch of signal processing, offering a great deal of research and discussions by leading experts in the area. The wide-ranging volume offers an overview into cutting-edge research into the newest tensor processing techniques and their application to different domains related to computer vision and image processing. This comprehensive text will prove to be an invaluable reference and resource for researchers, practitioners and advanced students working in the area of computer vision and image processing.

Posted by **yurii1982** at Dec. 26, 2009

1143085

** Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision **

Publisher: Springer | ISBN: 3540273220 | edition 2006 | PDF | 396 pages | 13,8 mb

This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept. The topics presented include Hilbert spaces, the Fourier transform, scale analysis, direction fields, structure tensors, motion tensors, the Hough transform, grouping, and segmentation. Directional signal processing, an increasingly crucial element of computer vision for which neural circuits exist in human vision, is dealt with in depth by use of tensors. All chapters are richly illustrated, with color graphics from cover to cover; applications are studied in various fields, including biometric person authentication, texture analysis, optical character recognition, and motion estimation and tracking; and exercises help the sudent verify progress. Developed out of courses given by the author, this introductory textbook addresses advanced undergarduates as well as master and PhD students in computer science, engineering, mathematics, and in other disciplines where techniques from computer vision, image processing, visual computation and signal analysis are applied.

Publisher: Springer | ISBN: 3540273220 | edition 2006 | PDF | 396 pages | 13,8 mb

This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept. The topics presented include Hilbert spaces, the Fourier transform, scale analysis, direction fields, structure tensors, motion tensors, the Hough transform, grouping, and segmentation. Directional signal processing, an increasingly crucial element of computer vision for which neural circuits exist in human vision, is dealt with in depth by use of tensors. All chapters are richly illustrated, with color graphics from cover to cover; applications are studied in various fields, including biometric person authentication, texture analysis, optical character recognition, and motion estimation and tracking; and exercises help the sudent verify progress. Developed out of courses given by the author, this introductory textbook addresses advanced undergarduates as well as master and PhD students in computer science, engineering, mathematics, and in other disciplines where techniques from computer vision, image processing, visual computation and signal analysis are applied.

Posted by **Alexpal** at Sept. 15, 2006

Springer | ISBN 3540273220 | 2006 Year | PDF | 6,4 Mb | 396 Pages

This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept. The topics presented include Hilbert spaces, the Fourier transform, scale analysis, direction fields, structure tensors, motion tensors, the Hough transform, grouping, and segmentation. Directional signal processing, an increasingly crucial element of computer vision for which neural circuits exist in human vision, is dealt with in depth by use of tensors. All chapters are richly illustrated, with color graphics from cover to cover; applications are studied in various fields, including biometric person authentication, texture analysis, optical character recognition, and motion estimation and tracking; and exercises help the sudent verify progress. Developed out of courses given by the author, this introductory textbook addresses advanced undergarduates as well as master and PhD students in computer science, engineering, mathematics, and in other disciplines where techniques from computer vision, image processing, visual computation and signal analysis are applied.