Depth Prediction at Homogeneous Image Structures
نویسندگان
چکیده
Depth at homogeneous or weakly-textured image areas is difficult to obtain because such image areas suffer the well-known correspondence problem. In this paper, we propose a voting model that predicts the depth at such image areas from the depth of bounding edge-like structures. The depth at edge-like structures is computed using a feature-based stereo algorithm, and is used to vote for the depth of homogeneous image areas. We show the results of our ongoing work on different scenarios.
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تاریخ انتشار 2008