Ebook: Applications of Invariance in Computer Vision: Second Joint European — US Workshop Ponta Delgada, Azores, Portugal October 9–14, 1993 Proceedings
Author: Joseph L. Mundy Andrew Zisserman (auth.) Joseph L. Mundy Andrew Zisserman David Forsyth (eds.)
- Genre: Education // International Conferences and Symposiums
- Tags: Computer Graphics, Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence (incl. Robotics), Software Engineering/Programming and Operating Systems, Computer-Aided Engineering (CAD CAE) and Design
- Series: Lecture Notes in Computer Science 825
- Year: 1994
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- djvu
This book is the proceedings of the Second Joint European-US Workshop on Applications of Invariance to Computer Vision, held at Ponta Delgada, Azores, Portugal in October 1993.
The book contains 25 carefully refereed papers by distinguished researchers. The papers cover all relevant foundational aspects of geometric and algebraic invariance as well as applications to computer vision, particularly to recovery and reconstruction, object recognition, scene analysis, robotic navigation, and statistical analysis. In total, the collection of papers, together with an introductory survey by the editors, impressively documents that geometry, in its different variants, is the most successful and ubiquitous tool in computer vision.
This book is the proceedings of the Second Joint European-US Workshop on Applications of Invariance to Computer Vision, held at Ponta Delgada, Azores, Portugal in October 1993. The book contains 25 carefully refereed papers by distinguished researchers. The papers cover all relevant foundational aspects of geometric and algebraic invariance as well as applications to computer vision, particularly to recovery and reconstruction, object recognition, scene analysis, robotic navigation, and statistical analysis. In total, the collection of papers, together with an introductory survey by the editors, impressively documents that geometry, in its different variants, is the most successful and ubiquitous tool in computer vision.
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