Improved census transform for noise robust stereo matching

Jongchul Lee; Daeyoon Jun; Changkyoung Eem; Hyunki Hong

doi:10.1117/1.OE.55.6.063107

16 June 2016 Improved census transform for noise robust stereo matching

Jongchul Lee, Daeyoon Jun, Changkyoung Eem, Hyunki Hong

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Optical Engineering, Vol. 55, Issue 6, 063107 (June 2016). https://doi.org/10.1117/1.OE.55.6.063107

Abstract

Census transform (CT), a stereo matching algorithm, has a strong advantage in radial distortion and brightness changes. However, CT is noise-sensitive because it compares the brightness of a single central pixel based on the brightness values of neighborhood pixels within a matching window. Star-census transform, which compares the brightness of pixels separated by a certain distance along a symmetrical pattern within the matching window, is presented. The proposed method can select the distance between the pixels for comparison and comparison patterns. The experiment results show that the proposed method yields a better performance than the previous CT methods.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Jongchul Lee, Daeyoon Jun, Changkyoung Eem, and Hyunki Hong "Improved census transform for noise robust stereo matching," Optical Engineering 55(6), 063107 (16 June 2016). https://doi.org/10.1117/1.OE.55.6.063107

Published: 16 June 2016

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