2d objects detention and recognition

Models, algorithms, and networks

Yali Amit

320 pages, parution le 27/09/2002

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Résumé

"Modeling the human ability to identify objects in images has proved to be a significant challenge. While computer vision researchers have largely concentrated on the geometric aspects of the problem such as recognition under varying poses, researchers in statistics and machine learning typically have treated the problem as one of classifying feature vectors. In this important book, Yali Amit presents a novel synthesis of these strands of research. His approach to recognition based on learned configurations of sparse features provides a rare combination of efficient algorithms based on a solid statistical foundation. Amit's thorough and well-documented experimentation with examples ranging from medical images to handwritten digits should set a standard for the field. Highly recommended."
Jitendra Malik, department of computer science, university of California at Berkeley"The book develops a novel and elegant approach to the important problem of visual object recognition. The efficient and well-motivated algorithms have fundamental theoretical as well as practical implications for the study of computer vision. The book will appeal to computer scientists as well as researchers modeling the functions of biological visual systems."
Shimon Ullman, The Weizmann Institute of science, IsraëlContents

Introduction
Detection and Recognition: Overview of Models
1D Models: Deformable Contours
1D Models: Deformable Curves
2D Models: Deformable Images
Sparse Models: Formulation, Training, and Statistical Properties
Detection of Sparse Models: Dynamic Programming
Detection of Sparse Models: Counting
Object Recognition
Scene Analysis: Merging Detection and Recognition
Neural Network Implementations
Software

Caractéristiques techniques

	PAPIER
Éditeur(s)	The MIT Press
Auteur(s)	Yali Amit
Parution	27/09/2002
Nb. de pages	320
Format	18 x 23,5
Couverture	Relié
Poids	680g
Intérieur	Noir et Blanc
EAN13	9780262011945
ISBN13	978-0-262-01194-5

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2d objects detention and recognition

Résumé

Caractéristiques techniques

Nouveautés "Reconnaissance des formes"

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