Evolutionary-based 3D reconstruction using an uncalibrated stereovision system: application of building a panoramic object view |
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Authors: | Alain Koch Albert Dipanda Claire Bourgeois République |
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Affiliation: | 1.LE2I, Faculté des Sciences,Université de Bourgogne,Dijon,France |
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Abstract: | In this paper, we propose an original evolutionary-based method for 3D panoramic reconstruction from an uncalibrated stereovision
system (USS). The USS is composed of five cameras located on an arc of a circle around the object to be analyzed. The main
originality of this work concerns the process of the calculation of the 3D information. Actually, with our method, 3D coordinates
are directly obtained without any prior estimation of the fundamental matrix. The method operates in two steps. Firstly, points
of interest are detected in pairs of images acquired by two consecutive cameras of the USS are matched. And secondly, using
evolutionary algorithms, we jointly compute the transformed matrix between the two images and the respective depth of the
points of interest. The accuracy of the proposed method is validated through a comparison with the depth values obtained using
a traditional method. In order to perform 3D panoramic object reconstruction, the process is repeated for all the pairs of
consecutive cameras. The 3D points thus obtained throughout the successive steps of the process which correspond to the different
points of interest, are combined in order to obtain a set of 3D points all around the analyzed object. |
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