Sven Behnke
Hierarchical Neural Networks for Image Interpretation - Lecture Notes in Computer Science Sven Behnke 2003 edition

Name: Hierarchical Neural Networks for Image Interpretation - Lecture Notes in Computer Science
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Author: Sven Behnke

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Hierarchical Neural Networks for Image Interpretation - Lecture Notes in Computer Science

Sven Behnke

2003 edition

Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains.

This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques.

Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.

227 pages, biography

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	2003年8月21日
ISBN13	9783540407225
出版社	Springer-Verlag Berlin and Heidelberg Gm
ページ数	227
寸法	156 × 234 × 12 mm · 340 g
言語	英語