3D reconstruction considering calculation time reduction for linear trajectory shooting and accuracy verification with simulator

Photogrammetry is a three-dimensional (3D) reconstruction from images. 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. In this paper, 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 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.