caa a22 4500 467914818 CHVBK 20180406152859.0 cr unu---uuuuu 170328e20060101xx s 000 0 eng 10.1007/s11263-005-3221-0 doi (NATIONALLICENCE)springer-10.1007/s11263-005-3221-0 A Novel Representation and Feature Matching Algorithm for Automatic Pairwise Registration of Range Images [Elektronische Daten] [A. Mian, M. Bennamoun, R. Owens] Automatic registration of range images is a fundamental problem in 3D modeling of free-from objects. Various feature matching algorithms have been proposed for this purpose. However, these algorithms suffer from various limitations mainly related to their applicability, efficiency, robustness to resolution, and the discriminating capability of the used feature representation. We present a novel feature matching algorithm for automatic pairwise registration of range images which overcomes these limitations. Our algorithm uses a novel tensor representation which represents semi-local 3D surface patches of a range image by third order tensors. Multiple tensors are used to represent each range image. Tensors of two range images are matched to identify correspondences between them. Correspondences are verified and then used for pairwise registration of the range images. Experimental results show that our algorithm is accurate and efficient. Moreover, it is robust to the resolution of the range images, the number of tensors per view, the required amount of overlap, and noise. Comparisons with the spin image representation revealed that our representation has more discriminating capabilities and performs better at a low resolution of the range images. Springer Science + Business Media, Inc, 2006 correspondence nationallicence automatic registration nationallicence feature matching nationallicence shape descriptor nationallicence 3D representation nationallicence 3D modeling nationallicence Mian A. School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, 6009, Crawley, WA, Australia aut Bennamoun M. School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, 6009, Crawley, WA, Australia aut Owens R. School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, 6009, Crawley, WA, Australia aut International Journal of Computer Vision Kluwer Academic Publishers 66/1(2006-01-01), 19-40 0920-5691 66:1<19 2006 66 11263 https://doi.org/10.1007/s11263-005-3221-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-005-3221-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mian A. School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, 6009, Crawley, WA, Australia aut NATIONALLICENCE 700 1- Bennamoun M. School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, 6009, Crawley, WA, Australia aut NATIONALLICENCE 700 1- Owens R. School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, 6009, Crawley, WA, Australia aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 66/1(2006-01-01), 19-40 0920-5691 66:1<19 2006 66 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer