Image Selection Method from Image Sequence to Improve Computational Efficiency of 3D Reconstruction: Application of Fixed Threshold to Remove Redundant Images
Year: 2024
Type: article
Abstract: This paper describes three-dimensional (3D) reconstruction processes introducing an image selection method to efficiently generate a 3D model from an image sequence. To obtain suitable images for efficient 3D reconstruction, we applied the image selection method to remove redundant images in an image sequence. The proposed method can select suitable images from an image sequence based on optical flow measures and a fixed threshold. As a result, it can reduce the computational cost for 3D reconstruction processes based on the image sequence acquired by a camera. We confirmed that the computational cost of 3D reconstruction processes can be reduced while maintaining the 3D reconstruction accuracy at a constant level.
Institutions: Japan Atomic Energy Agency, Sapporo University
Language: English
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405569331