Hierarchical stereo matching based on image bit-plane slicing

Authors:
Huei-Yung Lin;Pin-Zhi Lin
Affiliations:
Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan;Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan
Venue:
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Year:
2012

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Abstract

We propose a new stereo matching framework based on image bit-plane slicing. A pair of image sequences with various intensity quantization levels constructed by taking different bit-rate of the images is used for hierarchical stereo matching. The basic idea is to use the low bit-rate image pairs to compute rough disparity maps. The hierarchical matching strategy is then performed iteratively to update the low confident disparities with the information provided by extra image bit-planes. Since the disparity computation is carried out on a need-to-know basis, the proposed technique is suitable for remote processing of the images acquired by a mobile camera. Our method provides a hierarchical matching framework and can be combined with the existing stereo matching algorithms. Experiments on Middlebury datasets show that our technique gives good results compared to the conventional full bit-rate matching.