Control Grid Motion Estimation for Efficient Application of Optical Flow (Record no. 85584)

000 -LEADER
fixed length control field 03551nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-3-031-01520-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164327.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2013 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031015205
-- 978-3-031-01520-5
082 04 - CLASSIFICATION NUMBER
Call Number 621,382
100 1# - AUTHOR NAME
Author Zwart, Christine M.
245 10 - TITLE STATEMENT
Title Control Grid Motion Estimation for Efficient Application of Optical Flow
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2013.
300 ## - PHYSICAL DESCRIPTION
Number of Pages VIII, 79 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Algorithms and Software in Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Control Grid Interpolation (CGI) -- Application of CGI to Registration Problems -- Application of CGI to Interpolation Problems -- Discussion and Conclusions.
520 ## - SUMMARY, ETC.
Summary, etc Motion estimation is a long-standing cornerstone of image and video processing. Most notably, motion estimation serves as the foundation for many of today's ubiquitous video coding standards including H.264. Motion estimators also play key roles in countless other applications that serve the consumer, industrial, biomedical, and military sectors. Of the many available motion estimation techniques, optical flow is widely regarded as most flexible. The flexibility offered by optical flow is particularly useful for complex registration and interpolation problems, but comes at a considerable computational expense. As the volume and dimensionality of data that motion estimators are applied to continue to grow, that expense becomes more and more costly. Control grid motion estimators based on optical flow can accomplish motion estimation with flexibility similar to pure optical flow, but at a fraction of the computational expense. Control grid methods also offer the added benefit of representing motion far more compactly than pure optical flow. This booklet explores control grid motion estimation and provides implementations of the approach that apply to data of multiple dimensionalities. Important current applications of control grid methods including registration and interpolation are also developed. Table of Contents: Introduction / Control Grid Interpolation (CGI) / Application of CGI to Registration Problems / Application of CGI to Interpolation Problems / Discussion and Conclusions.
700 1# - AUTHOR 2
Author 2 Frakes, David.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-01520-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1938-1735
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-- ZDB-2-SXSC

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