Hierarchical Neural Networks for Image Interpretation

• Main Author: Behnke, Sven (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Edition: 1st ed. 2003.
• Series: Lecture Notes in Computer Science, 2766
• Subjects: Computers.; Neurosciences.; Algorithms.; Artificial intelligence.; Optical data processing.; Pattern recognition.; Computation by Abstract Devices.; Algorithm Analysis and Problem Complexity.; Artificial Intelligence.; Image Processing and Computer Vision.; Pattern Recognition.

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 lim...

Table of Contents:

• I. Theory
• Neurobiological Background
• Related Work
• Neural Abstraction Pyramid Architecture
• Unsupervised Learning
• Supervised Learning
• II. Applications
• Recognition of Meter Values
• Binarization of Matrix Codes
• Learning Iterative Image Reconstruction
• Face Localization
• Summary and Conclusions.