El Hazzat, S. and El Akkad, N. and Merras, M. and Saaidi, A. and Satori, K. (2019) Fast 3D reconstruction and modeling method based on the good choice of image pairs for modified match propagation. Multimedia Tools and Applications.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Structure from Motion (SfM) is a 3D reconstruction approach for estimating camera poses and 3D structure from calibrated images. The recovered 3D structure is a sparse 3D point cloud that not permit to well define the shape of the object/scene. We must therefore move to a dense 3D reconstruction that requires a step of the dense matching between pairs of consecutive images, which requires a long calculation time. To reduce computation time, we have proposed an algorithm for the good choice of image pairs that will be used by the Modified Match Propagation (MMP) to improve the sparse 3D reconstruction. These image pairs will be selected on the basis of the result already achieved by SfM. The MMP algorithm will be applied for each image pair to retrieve new matches and their 3D coordinates. The final 3D point cloud is achieved by fusion of results obtained from the image pairs selected. The realistic 3D model is recovered after applying the Poisson surface reconstruction method with texture mapping. The results of the experiments show the speed of the proposed approach without losing quality of 3D reconstructed models. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Item Type: Article
Uncontrolled Keywords: 3D modeling; Image enhancement; Object recognition; Textures; Three dimensional computer graphics, 3D point cloud; 3D reconstruction; Calculation time; Computation time; Consecutive images; Image couples selection; Realistic 3d modeling; Structure from motion, Image reconstruction
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:45
URI: http://eprints.umi.ac.ma/id/eprint/2320

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