Title :
A phase matching and region segmentation stereo depth mixed extraction algorithm
Author :
Liu, Shengxia ; Zhou, Jun ; Wu, Meng
Author_Institution :
Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
This paper presents a novel dense disparity estimation method using phase matching and color segmentation. In the proposed method, the initial disparity map is firstly obtained by an improved phase-based stereo matching solution. The solution effectively restrains two tough problems of phase singularities and phase wrap, in a coarse-to-fine approach, by using Dual-Tree Complex Wavelet Transform (DT CWT) to extract the phase of the stereo images. The initial disparity is then refined by color segmentation and disparity plane fitting. Segmentation-based methods have an advantage of well representation of disparities on discontinuous region. Experimental results indicate that the proposed method is superior in generating disparity maps with high accuracy and clean edges.
Keywords :
image colour analysis; image matching; image segmentation; stereo image processing; wavelet transforms; color segmentation; dense disparity estimation; disparity map; disparity plane fitting; dual-tree complex wavelet transform; phase matching; phase singularities; phase wrap; phase-based stereo matching; region segmentation stereo depth mixed extraction algorithm; stereo images; Color; Continuous wavelet transforms; Data mining; Discrete wavelet transforms; Frequency conversion; Image segmentation; Layout; Phase estimation; Videos; Wavelet transforms; 3DTV; Dual-Tree Complex Wavelet Transform; depth map extraction; phase matching; region segmentation;
Conference_Titel :
Broadband Multimedia Systems and Broadcasting (BMSB), 2010 IEEE International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4461-8
Electronic_ISBN :
978-1-4244-4462-5
DOI :
10.1109/ISBMSB.2010.5463099