| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Outline of Final Research Achievements |
This study discussed fast and accurate distance measurement based on a pair of stereo images, and proposed a new disparity estimation method which transforms the slope of the cost volume as a pre-processing for cost aggregation. Global approaches such as belief propagation and graph theory have been applied to obtain accurate disparity, but they require a heavy computational burden. We focused on local approaches which have an advantage of simple and fast computation for real-time applications and disadvantages in dealing with weak texture region or non-frontal region. To overcome these disadvantages, the proposed method transforms the slope of the cost volume and applied edge-preserving smoothing filters such as guided filter or line-wise integral filter on the cost volume. Experimental results showed that the slope transformation improves the accuracy of the estimated disparity.
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