An Improved Region-Growth Algorithm for Disparity Estimation
In this paper, we present a simple and efficient disparity estimation method based on region-growth techniques, which can obtain the more accurate disparity map from two color or gray images with an acceptable speed and computationnal cost. The proposed method includes two steps: the selection of the seed points and propagation. Instead of propagating after getting all seed points, the proposed method begins to propagate as soon as one point is gotten. This makes the algorithm more efficient. In the propagation step, a line-growth method is adopted since disparity of the stereo image is only in the row directions. Experiments with test and real stereo image pairs show the validity of the proposed method.
disparity estimation region-growth stereo vision 3D reconstruction Quasi-Dense Matching
Xianbiao Dai Liang Wang Pingyuan Cui
College of Electionic Information and Control Engineering, Beijing University of Technology Beijing, China
国际会议
2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)
厦门
英文
411-414
2010-04-12(万方平台首次上网日期,不代表论文的发表时间)