Takuto Shigenobu’s research while affiliated with Kagoshima University and other places

This paper proposes a three-dimensional (3D) entire shape reconstruction method that performs simultaneous 3D registration of multiple depth images obtained from multiple viewpoints. With the combination of a silhouette-based objective function and evolutionary computation algorithms, the proposed method realizes the entire shape reconstruction from small number (two or three) of depth images, which do not involve enough overlapping regions for other 3D registration methods. In particular, this paper proposes a CMA-ES algorithm with regional intensification techniques (CMA-ESPR+VF) to speed up the registration process. Experimental results show that the proposed CMA-ESPR+VF achieved a speedup that is at most 18 times faster than self-adaptive differential evolution.