Quantized Census for Stereoscopic Image Matching

Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg Slabaugh
2014 2014 2nd International Conference on 3D Vision  
Current depth capturing devices show serious drawbacks in certain applications, for example ego-centric depth recovery: they are cumbersome, have a high power requirement, and do not portray high resolution at near distance. Stereo-matching techniques are a suitable alternative, but whilst the idea behind these techniques is simple it is well known that recovery of an accurate disparity map by stereo-matching requires overcoming three main problems: occluded regions causing absence of
more » ... bsence of corresponding pixels; existence of noise in the image capturing sensor and inconsistent color and brightness in the captured images. We propose a modified version of the Census-Hamming cost function which allows more robust matching with an emphasis on improving performance under radiometric variations of the input images. I.
doi:10.1109/3dv.2014.83 dblp:conf/3dim/BasaruCAS14 fatcat:dgf2knyoe5bwbah2zwcorgbbp4