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Optical Engineering • Open Access

Improved census transform for noise robust stereo matching
Author(s): Jongchul Lee; Daeyoon Jun; Changkyoung Eem; Hyunki Hong

Paper 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.

Paper Details

Date Published: 16 June 2016
PDF: 10 pages
Opt. Eng. 55(6) 063107 doi: 10.1117/1.OE.55.6.063107
Published in: Optical Engineering Volume 55, Issue 6
Show Author Affiliations
Jongchul Lee, Chung-Ang Univ. GSAIM (Republic of Korea)
Daeyoon Jun, Chung-Ang Univ. (Republic of Korea)
Changkyoung Eem, Chung-Ang Univ. (Republic of Korea)
Hyunki Hong, Chung-Ang Univ. (Republic of Korea)


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