Hierarchical Neural Networks for Image Interpretation

• Κύριος συγγραφέας: Behnke, Sven (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Computer Science, 2766
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.