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Signal Processing for Computer Vision

Release on 2013-03-092013-03-09 by Gösta H. Granlund
Signal Processing for Computer Vision

Author: Gösta H. Granlund

Publisher: Springer Science & Business Media

ISBN: 9781475723779

Category: Technology & Engineering

Page: 437

View: 454

Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. Signal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing.
Technology & Engineering
Signal Processing for Computer Vision
Language: en
Pages: 437

Signal Processing for Computer Vision

Authors: Gösta H. Granlund, Hans Knutsson
Categories: Technology & Engineering
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and
Signal Processing for Computer Vision
Language: en
Pages: 464

Signal Processing for Computer Vision

Authors: Gösta H. Granlund, Hans Knutsson
Categories: Computers
Type: BOOK - Published: 1994-12-31 - Publisher: Springer Science & Business Media

Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and
Computer Vision and Applications
Language: en
Pages: 679

Computer Vision and Applications

Authors: Bernd Jahne
Categories: Computers
Type: BOOK - Published: 2000-05-24 - Publisher: Elsevier

Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery. Bridges the gap
Handbook of Computer Vision and Applications: Signal processing and pattern recognition
Language: en
Pages: 984

Handbook of Computer Vision and Applications: Signal processing and pattern recognition

Authors: Bernd Jähne, Horst Haussecker, Peter Geissler
Categories: Artificial intelligence
Type: BOOK - Published: 1999 - Publisher:

CD-ROM files contain complete text of all three print vols., as well as hyperlinks to figures, tables, etc. and between the index and the text. Also included are hyperlinks to movies, interactive 3-D models, demonstration software and other materials not contained in the print version.
Signal Processing Handbook
Language: en
Pages: 846

Signal Processing Handbook

Authors: C.H. Chen
Categories: Technology & Engineering
Type: BOOK - Published: 1988-07-26 - Publisher: CRC Press

Introductory, systematic treatment of the many interrelated aspects. Twenty-three contributions address the fundamentals, spectral estimation algorithms, image processing, land and ocean seismic data, telecommunications, 3-D object reconstructions. Alk. paper. Annotation copyright Book News, Inc. Po

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