TY - GEN
T1 - Histogram-based stereo matching under varying illumination conditions
AU - Jung, Il Lyong
AU - Sim, Jae Young
AU - Kim, Chang-Su
PY - 2012
Y1 - 2012
N2 - A histogram-based matching algorithm for stereo images captured under different illumination conditions is proposed in this work. The cumulative histogram of an image represents the ranks of relative pixel brightness, which are robust to illumination changes. Therefore, we design the matching cost based on the similarity of the cumulative histograms of stereo images. As an optional mode, the proposed algorithm can evaluate the histograms for foreground objects and the background separately to alleviate occlusion artifacts. To determine the disparity of each pixel, the proposed algorithm adaptively aggregates matching costs based on the color similarity and the geometric proximity of neighboring pixels. Then, it refines false disparities at occluded pixels using more reliable disparities of non-occluded pixels. Experimental results demonstrate that the proposed algorithm provides higher quality disparity maps than the conventional methods under varying illumination conditions.
AB - A histogram-based matching algorithm for stereo images captured under different illumination conditions is proposed in this work. The cumulative histogram of an image represents the ranks of relative pixel brightness, which are robust to illumination changes. Therefore, we design the matching cost based on the similarity of the cumulative histograms of stereo images. As an optional mode, the proposed algorithm can evaluate the histograms for foreground objects and the background separately to alleviate occlusion artifacts. To determine the disparity of each pixel, the proposed algorithm adaptively aggregates matching costs based on the color similarity and the geometric proximity of neighboring pixels. Then, it refines false disparities at occluded pixels using more reliable disparities of non-occluded pixels. Experimental results demonstrate that the proposed algorithm provides higher quality disparity maps than the conventional methods under varying illumination conditions.
KW - Stereo matching
KW - color similarity
KW - histogram
KW - illumination variation
UR - http://www.scopus.com/inward/record.url?scp=84874037800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874037800&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2012.6410819
DO - 10.1109/VCIP.2012.6410819
M3 - Conference contribution
AN - SCOPUS:84874037800
SN - 9781467344050
T3 - 2012 IEEE Visual Communications and Image Processing, VCIP 2012
BT - 2012 IEEE Visual Communications and Image Processing, VCIP 2012
T2 - 2012 IEEE Visual Communications and Image Processing, VCIP 2012
Y2 - 27 November 2012 through 30 November 2012
ER -