Control Points Based Semi-Dense Matching

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Conference Proceeding
Asian Conference on Computer Vision (ACCV2002), 2002, 1 pp. 374 - 379
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The common practice to get more matching points between two perspective images proceeds from coarse matching to dense matching. However, in some applications, for example, in the visualization of point-based 3D reconstruction results, one usually needs more matching points than those which could be obtained in coarse matching process to reveal sufficient structures, and does not need clouded matching points from dense matching process which is additionally of heavy computational load. In addition, it is sometimes desirable that the matching points could be evenly distributed across the whole image. The technique proposed in this note is a tentative step to this end. By adaptively adjusting the related parameters in the propagation stage, an appropriate number of matching points are obtained and distributed evenly. The extensive experiments validate our proposed new technique.
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