This paper presents a novel and efficient algorithm for the 3D range to 2D image registration problem in urban scene settings. Our input is a set of unregistered 3D range scans and a set of unregistered and uncalibrated 2D images of the scene. The 3D range scans and 2D images capture real scenes in extremely high detail. A new automated algorithm calibrates each 2D image and computes an optimized transformation between the 2D images and 3D range scans. This transformation is based on a match of 3D with 2D features that maximizes an overlap criterion. Our algorithm attacks the hard 3D range to 2D image registration problem in a systematic, efficient, and automatic way. Images captured by a high-resolution 2D camera, that moves and adjusts freely, are mapped on a centimeter-accurate 3D model of the scene providing photorealistic renderings of high quality. We present results from experiments in three different urban settings.


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    Title :

    Automatic 3D to 2D registration for the photorealistic rendering of urban scenes


    Contributors:
    Liu, L. (author) / Stamos, I. (author)


    Publication date :

    2005-01-01


    Size :

    631066 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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