by Andrew Blake, Andrew Zisserman
Publisher: The MIT Press 1987
Number of pages: 232
Visual Reconstruction presents a unified and highly original approach to the treatment of continuity in vision. It introduces, analyzes, and illustrates two new concepts. The first -- the weak continuity constraint -- is a concise, computational formalization of piecewise continuity. It is a mechanism for expressing the expectation that visual quantities such as intensity, surface color, and surface depth vary continuously almost everywhere, but with occasional abrupt changes. The second concept -- the graduated nonconvexity algorithm -- arises naturally from the first. It is an efficient, deterministic (nonrandom) algorithm for fitting piecewise continuous functions to visual data.
Download or read it online for free here:
by Dana H. Ballard, Christopher M. Brown - Prentice Hall
The book on computer vision - the construction of explicit, meaningful descriptions of physical objects from images. Parts of the book assume some mathematical and computing background, but mainly mathematical rigor takes a backseat to concepts.
by Kresimir Delac, Mislav Grgic, Marian Stewart Bartlett - IN-TECH
The main ideas in the area of face recognition are security applications and human-computer interaction. The goal of this book is to provide the reader with the most up to date research performed in automatic face recognition.
by Ramakant Nevatia - Prentice-Hall
This book is about visual perception. It is based on the author's experience in teaching graduate courses in the field. It assumes no previous knowledge of the field and aims to provide a comprehensive knowledge of its methods.
by Dilip K. Prasad - arXiv
We propose a new object detection/recognition method, which improves over the existing methods in every stage of the object detection/recognition process. In addition to the usual features, we propose to use geometric shapes as additional features.