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عنوان
Measurement of Image Velocity

پدید آورنده
by David J. Fleet.

موضوع
Artificial intelligence.,Computer science.,Computer vision.

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9781461366232
(Number (ISBN
9781461536482

NATIONAL BIBLIOGRAPHY NUMBER

Number
b403248

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Measurement of Image Velocity
General Material Designation
[Book]
First Statement of Responsibility
by David J. Fleet.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boston, MA :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
1992.

SERIES

Series Title
Springer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors,
Volume Designation
169
ISSN of Series
0893-3405 ;

SUMMARY OR ABSTRACT

Text of Note
Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion. The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception.

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9781461366232

PIECE

Title
Springer eBooks

TOPICAL NAME USED AS SUBJECT

Artificial intelligence.
Computer science.
Computer vision.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Fleet, David J.

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

SpringerLink (Online service)

ORIGINATING SOURCE

Date of Transaction
20190307155400.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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