"2D Object Detection and Recognition: Models, Algorithms, and Networks" by Yali Amit (Repost)
"2D Object Detection and Recognition: Models, Algorithms, and Networks" by Yali Amit
MIT Press | 2002 | ISBN: 0262011948 0262267098 9780262011945 9780585446301 | 325 pages | PDF/djvu | 5 MB
MIT Press | 2002 | ISBN: 0262011948 0262267098 9780262011945 9780585446301 | 325 pages | PDF/djvu | 5 MB
This book discusses the construction and training of models, computational approaches to efficient implementation, and parallel implementations in biologically plausible neural network architectures. The book provides detailed descriptions of the algorithms used as well as the code, and the software and data sets are available on the Web.
The book describes a range of deformable template models, from coarse sparse models involving discrete, fast computations to more finely detailed models based on continuum formulations, involving intensive optimization.
Contents
Preface
1 Introduction
2 Detection and Recognition: Overview of Models
3 1D Models: Deformable Contours
4 1D Models: Deformable Curves
5 2D Models: Deformable Images
6 Sparse Models: Formulation, Training, and Statistical Properties
7 Detection of Sparse Models: Dynamic Programming
8 Detection of Sparse Models: Counting
9 Object Recognition
10 Scene Analysis: Merging Detection and Recognition
11 Neural Network Implementations
12 Software
Bibliography
Index
with TOC BookMarkLinks