Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Computer vision : statistical models for Marr's paradigm / Song-Chun Zhu, Ying Nian Wu.
ISBN
9783030965303 (electronic bk.)
3030965309 (electronic bk.)
9783030965297 (print)
3030965295
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xiv, 357 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-96530-3 doi
Call Number
TA1634
Dewey Decimal Classification
006.3/70727
Summary
As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors hope to provide foundation and, perhaps more importantly, further inspiration for continued research in vision. This book covers David Marr's paradigm and various underlying statistical models for vision. The mathematical framework herein integrates three regimes of models (low-, mid-, and high-entropy regimes) and provides foundation for research in visual coding, recognition, and cognition. Concepts are first explained for understanding and then supported by findings in psychology and neuroscience, after which they are established by statistical models and associated learning and inference algorithms. A reader will gain a unified, cross-disciplinary view of research in vision and will accrue knowledge spanning from psychology to neuroscience to statistics.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 22, 2023).
Available in Other Form
Print version: 9783030965297
Preface
About the Authors
1 Introduction
2 Statistics of Natural Images
3 Textures
4 Textons
5 Gestalt Laws and Perceptual Organizations
6 Primal Sketch: Integrating Textures and Textons
7 2.1D Sketch and Layered Representation
8 2.5D Sketch and Depth Maps
9 Learning about information Projection
10 Informing Scaling and Regimes of Models
11 Deep Images and Models
12 A Tale of Three Families: Discriminative, Generative and Descriptive Models
Bibliography.
