Title :
Stereo Matching Based on Local Invariant Region Identification
Author :
Hu, Qian ; Yang, Zhengqiu
Author_Institution :
Sch. of Comput. Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Among the solutions for stereo matching which is regarded as one fundamental topic in computer vision, methods based on regions can overcome the drawbacks of methods using points and lines as the features since regions can more exactly reflect the inherent properties of images processed. In this paper, we propose an efficient method to extract the local invariant region, in which the affine moment invariant is also combined. Experiments prove our method is effective while easier to implement.
Keywords :
computer vision; image matching; stereo image processing; affine moment invariant; computer vision; images processing; local invariant region; local invariant region identification; stereo matching; Brightness; Computer science; Computer vision; Gaussian processes; Image edge detection; Image matching; Joining processes; Layout; Stereo vision; Telecommunication computing; affine moment invariant; image matching; local invariant region; stereo matching;
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
DOI :
10.1109/ISCSCT.2008.69