TY - GEN
T1 - A stereo matching algorithm based on image segmentation and features point
AU - Guicai, Wang
AU - Liang, Wang
AU - Pingyuan, Cui
PY - 2009
Y1 - 2009
N2 - A novel method is presented based on image segmentation and features point for stereo matching. Firstly, we analyse texture of the original image for distinguishing less texture and similar texture regions, as a result, we can achieve image segmentation by label image texture region. Meanwhile, we can remove smaller regions by blob filter; Then, SIFT features point and matching can achieve reliable and sparse disparity; secondly, we can gain primly disparity with SAD area-based matching; Finally, according to distribution of SIFT matching features, disparity continuous constraint and minimum distance classifier, we can be successful to get disparity of image segmentation block. The results of experiment with standard test images show this paper presents a method is effective. Compared with traditional methods, the method can obtain quickly, dense and high precision disparity map.
AB - A novel method is presented based on image segmentation and features point for stereo matching. Firstly, we analyse texture of the original image for distinguishing less texture and similar texture regions, as a result, we can achieve image segmentation by label image texture region. Meanwhile, we can remove smaller regions by blob filter; Then, SIFT features point and matching can achieve reliable and sparse disparity; secondly, we can gain primly disparity with SAD area-based matching; Finally, according to distribution of SIFT matching features, disparity continuous constraint and minimum distance classifier, we can be successful to get disparity of image segmentation block. The results of experiment with standard test images show this paper presents a method is effective. Compared with traditional methods, the method can obtain quickly, dense and high precision disparity map.
KW - Disparity map
KW - Features point
KW - Image segmentation
KW - Minimum distance classifier
KW - Stereo matching
UR - http://www.scopus.com/inward/record.url?scp=73849089959&partnerID=8YFLogxK
U2 - 10.1109/CISP.2009.5305786
DO - 10.1109/CISP.2009.5305786
M3 - Conference contribution
AN - SCOPUS:73849089959
SN - 9781424441310
T3 - Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
BT - Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
T2 - 2009 2nd International Congress on Image and Signal Processing, CISP'09
Y2 - 17 October 2009 through 19 October 2009
ER -