画像電子学会研究会講演予稿
Reports of the 288th Technical Conference of the Institute of Image Electronics Engineers of Japan
セッションID: 18-03-02
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A Preliminary Study on Low Overlapping Unorganized Point Clouds Registration Using Hough Voting
*Luis Peralta  Jaime Sandoval Munetoshi Iwakiri Kiyoshi Tanaka
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Registration of multi-view point clouds is a task in 3D computer vision used for surface reconstruction which researchers have improved its efficiency and accuracy. In spite of the efforts and successes, just a few approaches address the specific problem of carrying out registration of point clouds with low overlapping ratio. In this report. we present a method that focuses on finding the rigid transformation that leads to the optimum registration between a pair of unorganized point clouds with low overlapping. This method exploits the characteristic of subset belonging from the well-known ICP registration algorithm, and through a Hough transform-like search looks for the points which neighboring points registration leads to a rigid transformation close to the optimal.

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© 2019 by The Institute of Image Electronics Engineers of Japan
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