A number of approaches have been proposed in the literature for reconstruction of 3-D objects from sequence of images. Yet, very few studies have been reported on the quantification/validation of the accuracy of these reconstructions. In addition, no design has been reported for a generic vision platform that can allow various modality imaging. The purpose of this paper is two folds: 1) propose a vision platform that lend itself for acquisition of calibrated sequence of images, and concurrently obtain a direct 3-D reconstruction by laser scanning; and 2) develop and implement different approaches for 3-D reconstructions from sequence of images. 3-D reconstructions will be evaluated against the 3-D scanning generated from a laser scanner. Validation of the reconstructions is made by pairwise comparison with the 3-D scanning results. Preliminary studies with the proposed vision platform show a good promise for its use in the validation of various 3-D reconstructions, registration and data fusion.


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    Title :

    A general-purpose platform for 3-D reconstruction from sequence of images


    Contributors:
    Eid, A.H. (author) / Rashad, S.S. (author) / Farag, A.A. (author)


    Publication date :

    2002-01-01


    Size :

    977063 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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