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Content Provider | Springer Nature Link |
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Author | Lin, Huei Yung Lin, Pin Zhi |
Copyright Year | 2012 |
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 carried out iteratively to update the low confident disparities with the information provided by extra image bit-planes. It is shown that, depending on the stereo matching algorithms, even the image pairs with low intensity quantization are able to produce fairly good disparity results. Consequently, variate bit-rate matching is performed only regionally in the images for each iteration, and the average image bit-rate for disparity computation is reduced. Our method provides a hierarchical matching framework and can be combined with the existing stereo matching algorithms. Experiments on Middlebury datasets show that the proposed technique gives good results compared to the conventional full bit-rate matching. |
Starting Page | 883 |
Ending Page | 898 |
Page Count | 16 |
File Format | |
ISSN | 09328092 |
Journal | Machine Vision and Applications |
Volume Number | 24 |
Issue Number | 5 |
e-ISSN | 14321769 |
Language | English |
Publisher | Springer-Verlag |
Publisher Date | 2012-10-17 |
Publisher Place | Berlin/Heidelberg |
Access Restriction | One Nation One Subscription (ONOS) |
Subject Keyword | Stereo matching Variate bit-rate image processing Disparity computation Pattern Recognition Image Processing and Computer Vision Communications Engineering, Networks |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture |
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