“3D Models From Photos and Videos” by Pollefeys and Gool

  • ©Marc Pollefeys and Luc Van Gool

Entry Number: 15

Title:

    3D Models From Photos and Videos

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Abstract:


    Prerequisites
    Basic understanding of 3D geometry and perspective projection. A full appreciation of the course requires some knowledge of projective geometry, computer vision, and image-processing techniques.

    Topics
    Feature extraction, feature tracking, (wide-baseline) feature matching, multi-view relations, projective structure and motion recovery, self-calibration, bundle adjustment, image-pair rectification, dense stereo matching, multi-view matching, 3D surface modeling and texturing, image-based rendering, and applications.

    Description
    How 3D models can be obtained from photos or video acquired with a hand-held camera. The approach is based on advanced automatic techniques that avoid camera calibration and a priori scene knowledge, and that gradually retrieve more and more information about the images, the cameras, and the scene.

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