Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach

Ross Davies; Ian Wilson; Andrew Ware

doi:10.1109/IWSSIP.2015.7314187

Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach

Ross Davies^*, Ian Wilson, Andrew Ware

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper covers the need to reduce the requirement for disparity generation for real-time video processing. The motivation for the change and the methodology are discussed. The presented algorithm, a dilated Laplacian approach to guiding regenerations, reduces the requirement by an average of 49% but maintains a map accuracy of 89%.

Original language	English
Title of host publication	2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015)
Editors	P Liatsis, A Uus, S Miah
Publisher	Institute of Electrical and Electronics Engineers
Pages	101-104
Number of pages	4
DOIs	https://doi.org/10.1109/IWSSIP.2015.7314187
Publication status	Published - 2015
Event	22nd International Conference on Systems, Signals and Image Processing (IWSSIP) - London Duration: 10 Sept 2015 → 12 Sept 2015

Publication series

Name	International Conference on Systems Signal and Image Processing
Publisher	IEEE
ISSN (Print)	2157-8672

Conference

Conference	22nd International Conference on Systems, Signals and Image Processing (IWSSIP)
City	London
Period	10/09/15 → 12/09/15

Keywords

Computer Vision
Disparity Generation
Laplacian

Access to Document

10.1109/IWSSIP.2015.7314187Licence: CC BY-NC-ND

Cite this

Davies, R., Wilson, I., & Ware, A. (2015). Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach. In P. Liatsis, A. Uus, & S. Miah (Eds.), 2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015) (pp. 101-104). (International Conference on Systems Signal and Image Processing). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IWSSIP.2015.7314187

Davies, Ross ; Wilson, Ian ; Ware, Andrew. / Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach. 2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015). editor / P Liatsis ; A Uus ; S Miah. Institute of Electrical and Electronics Engineers, 2015. pp. 101-104 (International Conference on Systems Signal and Image Processing).

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title = "Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach",

abstract = "This paper covers the need to reduce the requirement for disparity generation for real-time video processing. The motivation for the change and the methodology are discussed. The presented algorithm, a dilated Laplacian approach to guiding regenerations, reduces the requirement by an average of 49% but maintains a map accuracy of 89%.",

keywords = "Computer Vision, Disparity Generation, Laplacian",

author = "Ross Davies and Ian Wilson and Andrew Ware",

year = "2015",

doi = "10.1109/IWSSIP.2015.7314187",

language = "English",

series = "International Conference on Systems Signal and Image Processing",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "101--104",

editor = "P Liatsis and A Uus and S Miah",

booktitle = "2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015)",

note = "22nd International Conference on Systems, Signals and Image Processing (IWSSIP) ; Conference date: 10-09-2015 Through 12-09-2015",

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Davies, R, Wilson, I & Ware, A 2015, Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach. in P Liatsis, A Uus & S Miah (eds), 2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015). International Conference on Systems Signal and Image Processing, Institute of Electrical and Electronics Engineers, pp. 101-104, 22nd International Conference on Systems, Signals and Image Processing (IWSSIP), London, 10/09/15. https://doi.org/10.1109/IWSSIP.2015.7314187

Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach. / Davies, Ross; Wilson, Ian ; Ware, Andrew.
2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015). ed. / P Liatsis; A Uus; S Miah. Institute of Electrical and Electronics Engineers, 2015. p. 101-104 (International Conference on Systems Signal and Image Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach

AU - Davies, Ross

AU - Wilson, Ian

AU - Ware, Andrew

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AB - This paper covers the need to reduce the requirement for disparity generation for real-time video processing. The motivation for the change and the methodology are discussed. The presented algorithm, a dilated Laplacian approach to guiding regenerations, reduces the requirement by an average of 49% but maintains a map accuracy of 89%.

KW - Computer Vision

KW - Disparity Generation

KW - Laplacian

U2 - 10.1109/IWSSIP.2015.7314187

DO - 10.1109/IWSSIP.2015.7314187

M3 - Conference contribution

T3 - International Conference on Systems Signal and Image Processing

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EP - 104

BT - 2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015)

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A2 - Miah, S

PB - Institute of Electrical and Electronics Engineers

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Y2 - 10 September 2015 through 12 September 2015

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Davies R, Wilson I , Ware A. Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach. In Liatsis P, Uus A, Miah S, editors, 2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015). Institute of Electrical and Electronics Engineers. 2015. p. 101-104. (International Conference on Systems Signal and Image Processing). doi: 10.1109/IWSSIP.2015.7314187