A hierarchical genetic disparity estimation algorithm for multiview image synthesis

L Luo; DR Clewer; DR Bull; CN Canagarajah

doi:10.1109/ICIP.2000.899822

A hierarchical genetic disparity estimation algorithm for multiview image synthesis

L Luo, DR Clewer, DR Bull, CN Canagarajah

Engineering Faculty Office

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

8 Citations (Scopus)

435 Downloads (Pure)

Abstract

A hierarchical genetic algorithm for disparity estimation is presented. The goal, to estimate reliable disparity fields with low computational cost, is reached using a hierarchical genetic matching procedure. Firstly, each hierarchical image of the stereo pair is divided into sets of feature points and non-feature points. The image morphological gradient for feature points and the disparity Laplacian function for non-feature points are incorporated into the matching function to serve as an adaptive smoothness term. Meanwhile, the vertical-discontinuity constraint and the ordering constraint are also proposed to smooth out vertical disparity discontinuities and to obtain a more reliable disparity estimation. In the hierarchical genetic matching procedure, previously estimated vectors at the former image hierarchy are used to predict the corresponding searching space of chromosomes, and to correct each newly calculated set of disparity vectors. This significantly increases the accuracy of disparity estimation

Translated title of the contribution	A Hierarchical Genetic disparity Estimation Algorithm for Multiview Image Synthesis
Original language	English
Title of host publication	IEEE Int. Conf. on Image Processing (ICIP), Vancouver
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	768 - 771
Volume	2
ISBN (Print)	0780362977
DOIs	https://doi.org/10.1109/ICIP.2000.899822
Publication status	Published - Sept 2000
Event	International Conference on Image Processing (2000) - Vancouver, BC, Canada Duration: 1 Sept 2000 → …

Conference

Conference	International Conference on Image Processing (2000)
Country/Territory	Canada
City	Vancouver, BC
Period	1/09/00 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: The authors acknowledge to the support of the Virtual Centre of Excellence in Digital Broadcasting and Multimedia Technology (Theme 1) for the financial support of the work

Terms of use: Copyright © 2000 IEEE. Reprinted from IEEE International Conference on Image Processing, 2000.

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Access to Document

10.1109/ICIP.2000.899822

Luo IEEE image processing 2000Accepted author manuscript, 509 KB

http://hdl.handle.net/1983/1522

Handle.net

Persistent link

Cite this

@inproceedings{469e8e3c9d564a08a1d4d39d044282c6,

title = "A hierarchical genetic disparity estimation algorithm for multiview image synthesis",

abstract = "A hierarchical genetic algorithm for disparity estimation is presented. The goal, to estimate reliable disparity fields with low computational cost, is reached using a hierarchical genetic matching procedure. Firstly, each hierarchical image of the stereo pair is divided into sets of feature points and non-feature points. The image morphological gradient for feature points and the disparity Laplacian function for non-feature points are incorporated into the matching function to serve as an adaptive smoothness term. Meanwhile, the vertical-discontinuity constraint and the ordering constraint are also proposed to smooth out vertical disparity discontinuities and to obtain a more reliable disparity estimation. In the hierarchical genetic matching procedure, previously estimated vectors at the former image hierarchy are used to predict the corresponding searching space of chromosomes, and to correct each newly calculated set of disparity vectors. This significantly increases the accuracy of disparity estimation",

author = "L Luo and DR Clewer and DR Bull and CN Canagarajah",

note = "Rose publication type: Conference contribution Sponsorship: The authors acknowledge to the support of the Virtual Centre of Excellence in Digital Broadcasting and Multimedia Technology (Theme 1) for the financial support of the work Terms of use: Copyright {\textcopyright} 2000 IEEE. Reprinted from IEEE International Conference on Image Processing, 2000. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; International Conference on Image Processing (2000) ; Conference date: 01-09-2000",

year = "2000",

month = sep,

doi = "10.1109/ICIP.2000.899822",

language = "English",

isbn = "0780362977",

volume = "2",

pages = "768 -- 771",

booktitle = "IEEE Int. Conf. on Image Processing (ICIP), Vancouver",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Luo, L, Clewer, DR, Bull, DR & Canagarajah, CN 2000, A hierarchical genetic disparity estimation algorithm for multiview image synthesis. in IEEE Int. Conf. on Image Processing (ICIP), Vancouver. vol. 2, Institute of Electrical and Electronics Engineers (IEEE), pp. 768 - 771, International Conference on Image Processing (2000), Vancouver, BC, Canada, 1/09/00. https://doi.org/10.1109/ICIP.2000.899822

A hierarchical genetic disparity estimation algorithm for multiview image synthesis. / Luo, L; Clewer, DR; Bull, DR et al.
IEEE Int. Conf. on Image Processing (ICIP), Vancouver. Vol. 2 Institute of Electrical and Electronics Engineers (IEEE), 2000. p. 768 - 771.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - A hierarchical genetic disparity estimation algorithm for multiview image synthesis

AU - Luo, L

AU - Clewer, DR

AU - Bull, DR

AU - Canagarajah, CN

N1 - Rose publication type: Conference contribution Sponsorship: The authors acknowledge to the support of the Virtual Centre of Excellence in Digital Broadcasting and Multimedia Technology (Theme 1) for the financial support of the work Terms of use: Copyright © 2000 IEEE. Reprinted from IEEE International Conference on Image Processing, 2000. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2000/9

Y1 - 2000/9

N2 - A hierarchical genetic algorithm for disparity estimation is presented. The goal, to estimate reliable disparity fields with low computational cost, is reached using a hierarchical genetic matching procedure. Firstly, each hierarchical image of the stereo pair is divided into sets of feature points and non-feature points. The image morphological gradient for feature points and the disparity Laplacian function for non-feature points are incorporated into the matching function to serve as an adaptive smoothness term. Meanwhile, the vertical-discontinuity constraint and the ordering constraint are also proposed to smooth out vertical disparity discontinuities and to obtain a more reliable disparity estimation. In the hierarchical genetic matching procedure, previously estimated vectors at the former image hierarchy are used to predict the corresponding searching space of chromosomes, and to correct each newly calculated set of disparity vectors. This significantly increases the accuracy of disparity estimation

AB - A hierarchical genetic algorithm for disparity estimation is presented. The goal, to estimate reliable disparity fields with low computational cost, is reached using a hierarchical genetic matching procedure. Firstly, each hierarchical image of the stereo pair is divided into sets of feature points and non-feature points. The image morphological gradient for feature points and the disparity Laplacian function for non-feature points are incorporated into the matching function to serve as an adaptive smoothness term. Meanwhile, the vertical-discontinuity constraint and the ordering constraint are also proposed to smooth out vertical disparity discontinuities and to obtain a more reliable disparity estimation. In the hierarchical genetic matching procedure, previously estimated vectors at the former image hierarchy are used to predict the corresponding searching space of chromosomes, and to correct each newly calculated set of disparity vectors. This significantly increases the accuracy of disparity estimation

U2 - 10.1109/ICIP.2000.899822

DO - 10.1109/ICIP.2000.899822

M3 - Conference Contribution (Conference Proceeding)

SN - 0780362977

VL - 2

SP - 768

EP - 771

BT - IEEE Int. Conf. on Image Processing (ICIP), Vancouver

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - International Conference on Image Processing (2000)

Y2 - 1 September 2000

ER -

A hierarchical genetic disparity estimation algorithm for multiview image synthesis

Abstract

Conference

Bibliographical note

Access to Document

Handle.net

Fingerprint

Cite this