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    block this user Gregory Dudek Trusted member

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    McGill University, School of Computer Science, Montreal, Canada

    (Guest Editors) Automated Enhancement of 3D Models

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    The acquisition of a 3D model of a real environment can be accomplished using range sensors. In practice, suitable sensors to densely cover a large environment are often impractical. This paper presents ongoing work on the synthesis of 3D environment models from as little as one intensity image and sparse range data. Our method is based on interpolating the available range data using statistical inferences learned from the available intensity image and from those (sparse) regions where both range and intensity images are available. Since we compute the relationship between extisting range data and the images we start with, we do not need to make any strong assumptions about the kind of surfaces in the world (for example we do not need to assume the world exhibits only diffuse reflectance). Experimental results show the feasibility of our method. 1.

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    Description

    Title : (Guest Editors) Automated Enhancement of 3D Models
    Abstract : The acquisition of a 3D model of a real environment can be accomplished using range sensors. In practice, suitable sensors to densely cover a large environment are often impractical. This paper presents ongoing work on the synthesis of 3D environment models from as little as one intensity image and sparse range data. Our method is based on interpolating the available range data using statistical inferences learned from the available intensity image and from those (sparse) regions where both range and intensity images are available. Since we compute the relationship between extisting range data and the images we start with, we do not need to make any strong assumptions about the kind of surfaces in the world (for example we do not need to assume the world exhibits only diffuse reflectance). Experimental results show the feasibility of our method. 1.
    Subject : unspecified
    Area : Computer Science
    Language : English
    Affiliations
    Url : http://www.cim.mcgill.ca/~mrl/pubs/latorres/eg2002.pdf
    Doi : 10.1.1.70.4701

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