Image Selection Method from Image Sequence to Improve Computational Efficiency of 3D Reconstruction: Application of Fixed Threshold to Remove Redundant Images

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 imag...

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Bibliographic Details
Published in:Journal of robotics and mechatronics 2024-12, Vol.36 (6), p.1537-1549
Main Authors: Hanari Toshihide, Nakamura, Keita, Imabuchi Takashi, Kawabata Kuniaki
Format: Article
Language:eng ; jpn
Subjects:
Computational efficiency
Computing costs
Image acquisition
Image reconstruction
Image sequencing
Optical flow (image analysis)
Three dimensional flow
Three dimensional models
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Summary: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.
ISSN:0915-3942
1883-8049
DOI:10.20965/jrm.2024.p1537