Title :
Stereo matching algorithm based on curvelet decomposition and modified support weights
Author :
Mukherjee, Dibyendu ; Wang, Guanghui ; Wu, Q. M Jonathan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
Abstract :
We present a novel multiresolution analysis based stereo matching method using curvelets and modified adaptive support weight. Multiresolution analysis has long been applied to stereo correspondence. However, previous methods suffer from false matches arising from textureless region or repetitive textures and fattening effect due to area based matching. In the proposed approach, we have reduced false matches by using curvelet coefficients in different scales and orientations. Curvelet coefficients can uniquely represent different image points and increase matching accuracy. The fattening effect is reduced using support weights modified for curvelets. The proposed method is verified and compared with state-of-the art methods by extensive tests, and good results are obtained.
Keywords :
image matching; image resolution; image texture; stereo image processing; wavelet transforms; curvelet decomposition; fattening effect; modified support weights; multiresolution analysis; repetitive textures; stereo matching algorithm; textureless region; Art; Digital images; Face recognition; Image reconstruction; Multiresolution analysis; Pixel; Stereo image processing; Testing; Wavelet analysis; Wavelet coefficients; Stereo correspondence; curvelet decomposition; multiresolution analysis; support weights;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495003