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论文类型：会议论文

发表时间：2017-09-17

收录刊物：EI

卷号：2017-September

页面范围：3605-3609

摘要：3D modeling is a popular topic in the field of computer vision. Most of the existing methods based on the interest point matches or the line matches. The point-based methods are more mature, but usually less intuitive. Lines can provide more structural information and thus more intuitive, however, lines have more complex geometric properties, which makes the line-based methods usually time consuming. In this paper, we proposed a simple and effective approach of 3D modeling, which takes the intersections of the real lines and the virtual lines passing through interest points to construct the 3D models, and use a simple invariant to filter out wrong matches. Thus we can use the mature technology of point-based methods while the 3D point cloud maintain the structural information of lines. Experiments show our method can build meaningful 3D point cloud efficiently. © 2017 IEEE.