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In this paper, we propose a depth image generation method by stereo matching on super-pixel (SP) basis. In the proposed method, block matching is performed only at the center of the SP, and the obtained disparity is applied to all pixels of the SP. Next, in order to improve the disparity, a new SP-based cost filter is introduced. This filter multiplies the matching cost of the surrounding SP by a weight based on reliability and similarity and sums the weighted costs of neighbors. In addition, we propose two new error checking methods. One-way check uses only a unidirectional disparity estimation with a small amount of calculation to detect errors. Cross recovery uses cross checking and error recovery to repair lacks of objects that are problematic with SP-based matching. As a result of the experiment, the execution time of the proposed method using the one-way check was about 1/100 of the full search, and the accuracy was almost equivalent. The accuracy using cross recovery exceeded the full search, and the execution time was about 1/60. Speeding up while maintaining accuracy increases the application range of depth images.
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篇名 Fast Stereo Matching Fully Utilizing Super-Pixels
来源期刊 电脑和通信(英文) 学科 工学
关键词 STEREO MATCHING Super-Pixel COST Filter CROSS CHECK One-Way CHECK
年,卷(期) 2018,(8) 所属期刊栏目
研究方向 页码范围 15-27
页数 13页 分类号 TP39
字数 语种
DOI
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研究主题发展历程
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STEREO
MATCHING
Super-Pixel
COST
Filter
CROSS
CHECK
One-Way
CHECK
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期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
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783
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