Logo

Visual Reconstruction by Andrew Blake, Andrew Zisserman

Large book cover: Visual Reconstruction

Visual Reconstruction
by

Publisher: The MIT Press
ISBN/ASIN: 0262524066
ISBN-13: 9780262524063
Number of pages: 232

Description:
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:
Download link
(38MB, PDF)

Similar books

Book cover: Computer VisionComputer Vision
by - 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.
(12714 views)
Book cover: Recent Advances in Face RecognitionRecent Advances in Face Recognition
by - 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.
(6910 views)
Book cover: Machine PerceptionMachine Perception
by - 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.
(11261 views)
Book cover: Object Detection in Real ImagesObject Detection in Real Images
by - 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.
(4530 views)