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.


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    Titel :

    Multi-baseline stereo vision for three-dimensional object reconstruction



    Kongress:

    Optics and Photonics for Information Processing XVI ; 2022 ; San Diego,California,United States


    Erschienen in:

    Proc. SPIE ; 12225


    Erscheinungsdatum :

    2022-10-03





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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