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Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision [Hardcover]

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Item description for Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision by Josef Bigun...

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.

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Item Specifications...

Pages   396
Est. Packaging Dimensions:   Length: 0.75" Width: 6.25" Height: 9"
Weight:   1.78 lbs.
Binding  Hardcover
Release Date   Mar 16, 2006
Publisher   Springer
ISBN  3540273220  
ISBN13  9783540273226  

Availability  0 units.

More About Josef Bigun

Register your artisan biography and upload your photo! A fellow of the Institute of Electrical and Electronic Engineering (IEEE) and the International Association for Pattern Recognition (IAPR), Josef Bigun obtained his Ms and Ph.D. degrees from Linkoping University, Sweden, in 1983 and 1988 respectively. In 1988, he joined the Swiss Federal Institute of Technology in Lausanne where he worked as Adjoint Scientifique until 1998 with the exception that in 1997 he was a visiting professor at the Royal Institute of Technology, (KTH) Stockholm. He has been elected professor to the Signal Analysis Chair, his current position, at Halmstad University and Chalmers Institute of Technology in 1998.

He has been in technical and organizational committees of numerous national and international conferences. In particular, he co-chaired the First International Conference on Audio and Video Based Person Authentication in 1997. He has been contributing as a referee or as an editorial board member of international journals including Pattern Recognition Letters and IEEE Image Processing. He has contributed to the initiation and progress of several national and international research projects in computer vision, in particular in biometric person authentication, e.g. the EU projects IT-VIRSBS, ACTS-M2VTS, NOE-BIOSECURE.

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1Books > Calendars > Computers
2Books > Special Features > New & Used Textbooks > Computer Science & Information Systems > Graphics & Visualization
3Books > Special Features > New & Used Textbooks > Engineering > Electrical & Electronics
4Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Machine Vision
5Books > Subjects > Computers & Internet > Computer Science > Circuitry > Communication & Signal Processing
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10Books > Subjects > Professional & Technical > Engineering > Electrical & Optical > General

Reviews - What do customers think about Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision?

strong maths treatment  Aug 12, 2007
Bigun's book is an excellent way to delve into the intricacies of image analysis. The treatment is strongly mathematical. Involving the defining of Hilbert spaces and of operators within these spaces. Along with the use of tensors and minimising of residuals. The text starts from scratch, by considering an image and the RGB and HSV methods of representing that image. But the maths rapidly becomes quite sophisticated.

There is a definite connection with traditional statistical analysis of non-images. Concepts like power spectrum and regression analysis are common to both treatments. The book also has a good treatment of curvilinear coordinates. Well suited to studying images like those given in several of the text's examples.

The book only lightly touches on facial analysis. This is an entire subject of its own. There is a brief mention of eigenfaces, but you should turn to other texts devoted to studying faces, if that is your interest.

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