Segmentation-based Stereo Matching Using Color Grouping
Date Issued
2014
Date
2014
Author(s)
Wang, Hsin-wei
Abstract
This paper presents a novel method according to the human perception theory. We propose a segmentation-based stereo matching method to help the discontinuous segments that belongs to the same object to have 3D connectivity. Therefore, our method can get more discriminative disparity estimation for complex occlusion. Stereo matching is a correspondence method which uses two images for simulating human eyes to do depth reconstruction. But general stereo matching methods have limited capability to retrieve the geometric surface of the object or background that is occluded and divided into many regions by other objects in front of it. In our measurement, all segments are clustered into several groups based on color cue because the color segments in the same object usually have homogeneous color. Then those color segment regions within a same color group tend to be assigned to a same object. We use the proximity principle from Gestalt psychology to properly deal with the plane labeling in each segment group. The 3D connectivity term is encoded on the proximity formulation in our proposed energy function. We also use graph-cut technique, fusion move and Quadratic pseudo-boolean optimization (QPBO), to find approximate global solution for segment plane assignment. We use CVPR 2002 dataset as source images and evaluate our result by Middlebury.
Subjects
立體視差估算
接近
圖分割
Type
thesis
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