Presentation + Paper
4 October 2023 Three-dimensional object reconstruction using multi-ocular vision
Author Affiliations +
Abstract
Computation of three-dimensional information of an object from captured images is an important task in computer vision. The use of binocular vision for this task has been widely explored for years. However, the accuracy of three-dimensional reconstruction using binocular vision is conditioned by operating within a specific field of view. This work presents a three-dimensional reconstruction method based on multi-ocular vision. This method achieves higher accuracy in comparison with the conventional binocular approach. The performance of the proposed method is evaluated for three-dimensional reconstruction using images from an existing stereo dataset and a real laboratory experiment using four cameras.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Martin Gonzalez-Ruiz, Victor H. Diaz-Ramirez, and Rigoberto Juarez-Salazar "Three-dimensional object reconstruction using multi-ocular vision", Proc. SPIE 12673, Optics and Photonics for Information Processing XVII, 126730B (4 October 2023); https://doi.org/10.1117/12.2676947
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KEYWORDS
3D image processing

Cameras

3D image reconstruction

Image processing

Windows

Binocular vision

Error analysis

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