主催: The Institute of Image Electronics Engineers of Japan
開催地: 徳島大学 工業会館メモリアルホール
開催日: 2019/03/01 - 2019/03/02
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.