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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    Title :

    Stereo vision parallelization for three-dimensional reconstruction



    Conference:

    Optics and Photonics for Information Processing XIV ; 2020 ; Online Only,California,United States


    Published in:

    Proc. SPIE ; 11509


    Publication date :

    2020-08-21





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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