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中村 啓太; 羽成 敏秀; 川端 邦明; 馬場 啓多*
Artificial Life and Robotics, 28(2), p.352 - 360, 2023/02
In photogrammetry, when each image captures the features of the target object for 3D reconstruction, a more highly accurate 3D reconstruction can be obtained in a shorter time from a small number of images. For this reason, effective images for 3D reconstruction must be selected. We generate test images by constructing a virtual environment and changing the shooting conditions based on the simulation for this image selection. In particular, we focus on linear trajectory shooting, in which the camera moves on a straight rail and obtains images. We verify the 3D reconstruction considering the calculation time reduction based on effective image selection. The experimental result shows that the camera pose estimation can be improved by using images obtained at multiple shooting angles in the case of linear trajectory shooting. The additional experimental result reveals that the calculation time for the reconstruction result is reduced by applying the images selected at regular intervals.
中村 啓太; 馬場 啓多*; 羽成 敏秀; 川端 邦明
no journal, ,
In three-denominational (3D) reconstruction from a group of images, we verify whether scaling the result of 3D reconstruction according to the size of the objects for 3D reconstruction by adding a two- denominational (2D) code whose size is known in advance to the objects. The experimental result showed the accuracy of the scaled reconstructed result was high based on the size of the reconstructed 2D code.