TY - GEN
T1 - Object distance estimation based on stereo vision and color segmentation with region matching
AU - Xiong, Guangming
AU - Li, Xin
AU - Xi, Junqiang
AU - Fowers, Spencer G.
AU - Chen, Huiyan
PY - 2010
Y1 - 2010
N2 - Human vision system relies on stereovision to determine object distance in the 3-D world. Human vision system achieves this by first locating the objects, then matching the corresponding objects seen by the left and right eyes, and finally using triangulation to estimate the object distance. Inspired by the same concept, this paper presents a depth estimation method based on stereo vision and color segmentation with region matching in CIE Lab color space. Firstly, an automatic seeded region growing approach for color segmentation in perceptually uniform color space was proposed. Then color region matching method was implemented after color segmentation. Thereafter, 3D reprojection method was employed to calculate depth distances. Experimental results are included to validate the proposed concept for object distance estimation.
AB - Human vision system relies on stereovision to determine object distance in the 3-D world. Human vision system achieves this by first locating the objects, then matching the corresponding objects seen by the left and right eyes, and finally using triangulation to estimate the object distance. Inspired by the same concept, this paper presents a depth estimation method based on stereo vision and color segmentation with region matching in CIE Lab color space. Firstly, an automatic seeded region growing approach for color segmentation in perceptually uniform color space was proposed. Then color region matching method was implemented after color segmentation. Thereafter, 3D reprojection method was employed to calculate depth distances. Experimental results are included to validate the proposed concept for object distance estimation.
UR - http://www.scopus.com/inward/record.url?scp=78650771600&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17277-9_38
DO - 10.1007/978-3-642-17277-9_38
M3 - Conference contribution
AN - SCOPUS:78650771600
SN - 3642172768
SN - 9783642172762
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 368
EP - 376
BT - Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
T2 - 6th International, Symposium on Visual Computing, ISVC 2010
Y2 - 29 November 2010 through 1 December 2010
ER -