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- W2072762156 abstract "In this paper, we are interested in the problem of Euclidean 3D reconstruction of unknown objects by passive stereo vision method. Our method is based on the combination between Harris and Sift interest point detectors, to take advantage of the power of these two detectors, which will be useful when matching step, as a key step for 3D reconstruction, In order to have a sufficient number of matches distributed on the images. These matches will be used to estimate the 3D points (the projection matrices will be estimated after calibration using 3D Calibration Pattern). Finally, a 3D mesh is constructed by 3D Delaunay triangulation, applied to the 3D points reconstructed. Experimental results prove that this method is practical and gives satisfying results without going through the propagation step." @default.
- W2072762156 created "2016-06-24" @default.
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- W2072762156 date "2014-02-01" @default.
- W2072762156 modified "2023-09-26" @default.
- W2072762156 title "Euclidean 3D Reconstruction of Unknown Objects from Multiple Images" @default.
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- W2072762156 doi "https://doi.org/10.4304/jetwi.6.1.59-63" @default.
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