抄録

H-020
移動Kinect画像中からの移動物体の抽出と三次元形状のセグメンテーションに関する検討 : Probabilistic Boundary Edge Mapを用いたFixationベースのセグメンテーション手法の提案

This paper improves the authors' conventional method for reconstructing the 3D structure of moving and still objects that are tracked in the video and/or depth image sequences acquired by moving cameras and/or range finder. To solve our problems concerning the 3D reconstruction: lack of accuracy of segmenting into each object's region from sparse classified points, this paper proposes a new 3D segmentation method that utilizes a Fixation-based segmentation method utilizing probabilistic boundary edge map. Experiments using multiple moving objects demonstrate the effectiveness of our method.