Multi-baseline stereo vision for three-dimensional object reconstruction

Martin Gonzalez-Ruiz; Victor H. Diaz-Ramirez; Rigoberto Juarez-Salazar

doi:10.1117/12.2633119

3 October 2022 Multi-baseline stereo vision for three-dimensional object reconstruction

Martin Gonzalez-Ruiz, Victor H. Diaz-Ramirez, Rigoberto Juarez-Salazar

Proceedings Volume 12225, Optics and Photonics for Information Processing XVI; 1222508 (2022) https://doi.org/10.1117/12.2633119
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Three-dimensional object reconstruction is an essential task in many computer applications. In essence, it consists of firstly estimating the disparity of all corresponding points of an observed scene from a pair of stereo images and then determining the depth map of the scene by triangulation from the estimated disparity. Conventionally, the baseline is fixed in general-purpose stereo cameras. This can limit the resolution and robustness of the three-dimensional reconstruction. In this work, a multi-baseline stereo vision approach for three-dimensional object reconstruction is presented. The mathematical principles of multi-baseline stereo vision are provided. Additionally, experimental results of three-dimensional object reconstruction are presented and discussed in terms of objective measures.

Conference Presentation

Citation Download Citation

Martin Gonzalez-Ruiz, Victor H. Diaz-Ramirez, and Rigoberto Juarez-Salazar "Multi-baseline stereo vision for three-dimensional object reconstruction", Proc. SPIE 12225, Optics and Photonics for Information Processing XVI, 1222508 (3 October 2022); https://doi.org/10.1117/12.2633119

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