Improved census transform for noise robust stereo matching
Jong‐Chul Lee, Daeyoon Jun, Changkyoung Eem, Hyun-Ki Hong · Optical Engineering · 2016
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.