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Application of image selection method to improve computational efficiency of 3D environmental modeling for decommissioning

Hanari, Toshihide ; Imabuchi, Takashi  ; Kawabata, Kuniaki   

This paper describes the image selection method by multimodal detection for improving the computational efficiency of three-dimensional (3D) environment modeling based on sequential images for decommissioning. To reduce the computational time of the 3D modeling, we tried to extract suitable images for the 3D modeling from the sequential images. We applied multimodal detection by a statistical test on the image selection process. The elapsed times of the 3D models generated from the suitable images selected by the proposed method were reduced while keeping the reconstruction accuracy of the 3D models. The results suggest that suitable images can be extracted from the sequential images to decrease the computational time of the 3D modeling. Therefore, the suitable images selected by the proposed method contributed to efficiently performing the 3D modeling.

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