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21 August 2020 Stereo vision parallelization for three-dimensional reconstruction
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Abstract
A parallel implementation of a proposed stereo vision algorithm for three-dimensional scene reconstruction is presented. The algorithm firstly estimates the disparity map of a scene from a pair of rectified stereo images using an adaptive template matched filter. Next, the estimated disparity is utilized to retrieve the three-dimensional information of the scene, by considering the stereo camera's intrinsic parameters. The proposed algorithm is implemented on an embedded graphics processing unit by exploiting massive parallelism for high-rate image processing. The performance of the proposed algorithm is evaluated in real-life scenes captured on a laboratory experimental platform in terms of accuracy and processing speed.
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José Enrique Hernández-Beltrán, Mack Orlando Lugo-Aguilar, Victor H. Diaz-Ramirez, and Rigoberto Juarez-Salazar "Stereo vision parallelization for three-dimensional reconstruction", Proc. SPIE 11509, Optics and Photonics for Information Processing XIV, 1150906 (21 August 2020); https://doi.org/10.1117/12.2569278
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