Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2032)
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About this book
The 20 revised full papers presented have been through two rounds of reviewing, selection, and revision and give a representative assessment of the foundational issues in multiple-image processing. The papers are organized in topical sections on 3D data acquisition and sensor design, multi-image analysis, data fusion in 3D scene description, and applied 3D vision and virtual reality.
Keywords
Table of contents (20 papers)
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3D Data Acquisition and Sensor Design
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Multi-Image Analysis
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Applied 3D Vision and Virtual Reality
Editors and Affiliations
Bibliographic Information
Book Title: Multi-Image Analysis
Book Subtitle: 10th International Workshop on Theoretical Foundations of Computer Vision Dagstuhl Castle, Germany, March 12-17, 2000 Revised Papers
Editors: Reinhard Klette, Georgy Gimel’farb, Thomas Huang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-45134-X
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Softcover ISBN: 978-3-540-42122-1Published: 02 May 2001
eBook ISBN: 978-3-540-45134-1Published: 29 June 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 296
Topics: Image Processing and Computer Vision, Pattern Recognition, Computer Graphics, Artificial Intelligence