Cost Volume Stereo Matching by Feedback of Refinement Image

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  • デプスマップ精度改善フィルタのフィードバックによるコストボリュームステレオマッチング

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In this paper, we propose an efficient stereo matching framework. We iteratively process the following steps: cost aggregation, depth map refinement, and feedback of the refined depth map. Experimental results show that our framework can estimate depth maps faster and more accurate than previous methods.

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