Accurate stereo 3D point cloud generation suitable for multi-view stereo reconstruction

Abstract:


This paper proposes a novel methodology for generating 3D point clouds of good accuracy from stereo pairs. Initially, the methodology defines some conditions for the proper selection of image pairs. Then, the selected stereo images are used to estimate dense correspondences using the Daisy descriptor. An efficient two-phase strategy to remove outliers is then introduced. Finally, the 3D point cloud is refined by combining sub-pixel accuracy correspondences estimation and the moving least squares algorithm. The proposed methodology can be exploited by multiview stereo algorithms due to its good accuracy and its fast computation.


  • G. Kordelas, P. Daras, P. Klavdianos, E. Izquierdo, Q. Zhang, "Accurate stereo 3D point cloud generation suitable for multi-view stereo reconstruction", IEEE International Conference on Visual Communications and Image Processing, VCIP 2014, Dec 7-10, Valletta, Malta

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    Contact Information

    Dr. Petros Daras, Principal Researcher Grade Α
    1st km Thermi – Panorama, 57001, Thessaloniki, Greece
    P.O.Box: 60361
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    Email: daras@iti.gr