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25 Remote Warehouse Computers Reference- Beginning and Reference

This title in other editions

Affine Analysis of Image Sequences

by

Affine Analysis of Image Sequences Cover

 

Synopses & Reviews

Publisher Comments:

Computer vision is a rapidly growing field which aims to make computers 'see' as effectively as humans. In this book Dr Shapiro presents a new computer vision framework for interpreting time-varying imagery. This is an important task, since movement reveals valuable information about the environment. The fully-automated system operates on long, monocular image sequences containing multiple, independently-moving objects, and demonstrates the practical feasibility of recovering scene structure and motion in a bottom-up fashion. Real and synthetic examples are given throughout, with particular emphasis on image coding applications. Novel theory is derived in the context of the affine camera, a generalisation of the familiar scaled orthographic model. Analysis proceeds by tracking 'corner features' through successive frames and grouping the resulting trajectories into rigid objects using new clustering and outlier rejection techniques. The three-dimensional motion parameters are then computed via 'affine epipolar geometry', and 'affine structure' is used to generate alternative views of the object and fill in partial views. The use of all available features (over multiple frames) and the incorporation of statistical noise properties substantially improves existing algorithms, giving greater reliability and reduced noise sensitivity.

Synopsis:

Based on his award winning thesis, Dr Shapiro presents a new computer vision framework for interpreting time-varying imagery.

Synopsis:

Computer vision is a rapidly growing field which aims to make computers see as effectively as humans. In this book, Shapiro presents a new framework of computer vision for interpreting time-varying imagery. This is an important task, since movement reveals valuable information about the environment. The author's fully-automated system operates on long, monocular image sequences containing multiple, independently-moving objects, and demonstrates the practical feasibility of recovering scene structure and motion in a bottom-up fashion. The author gives real and synthetic examples throughout, with particular emphasis on image coding applications. He derives novel theory in the context of the affine camera, a generalization of the familiar scaled orthographic model. Graduate students and researchers in robotics and computer science will benefit from this book.

Table of Contents

1. Introduction; 2. Corner extraction and tracking; 3. The affine camera and affine structure; 4. Clustering using maximum affinity spanning trees; 5. Affine epipolar geometry; 6. Outlier rejection in an orthogonal regression framework; 7. Rigid motion from affine epipolar geometry; 8. Affine transfer; 9. Conclusions; Appendices A. Clustering proofs; B. Proofs for epipolar geometry minimisation; C. Proofs for outlier rejection; D. Rotation matrices; E. KdV motion equations; Bibliography; Index.

Product Details

ISBN:
9780521019781
Author:
Shapiro, Larry S.
Publisher:
Cambridge University Press
Location:
Cambridge
Subject:
Computer Graphics - General
Subject:
Reference - General
Subject:
Mathematical models
Subject:
Imaging Systems
Subject:
Image processing
Subject:
Image processing--Mathematical models--Data p
Subject:
Computer graphics
Subject:
Image processing -- Mathematical models.
Subject:
Geometry, Affine -- Data processing.
Subject:
Computers Reference-Beginning and Reference
Edition Description:
Trade paper
Series:
Distinguished Dissertations in Computer Science
Series Volume:
10
Publication Date:
20050631
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
118 b/w illus.
Pages:
228
Dimensions:
6.69x9.60x.48 in. .81 lbs.

Related Subjects

Computers and Internet » Computers Reference » Beginning and Reference
Computers and Internet » Graphics » General
Reference » Science Reference » Technology
Science and Mathematics » Biology » Entomology and General Invertebrates
Science and Mathematics » Materials Science » General

Affine Analysis of Image Sequences New Trade Paper
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Product details 228 pages Cambridge University Press - English 9780521019781 Reviews:
"Synopsis" by , Based on his award winning thesis, Dr Shapiro presents a new computer vision framework for interpreting time-varying imagery.
"Synopsis" by , Computer vision is a rapidly growing field which aims to make computers see as effectively as humans. In this book, Shapiro presents a new framework of computer vision for interpreting time-varying imagery. This is an important task, since movement reveals valuable information about the environment. The author's fully-automated system operates on long, monocular image sequences containing multiple, independently-moving objects, and demonstrates the practical feasibility of recovering scene structure and motion in a bottom-up fashion. The author gives real and synthetic examples throughout, with particular emphasis on image coding applications. He derives novel theory in the context of the affine camera, a generalization of the familiar scaled orthographic model. Graduate students and researchers in robotics and computer science will benefit from this book.
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