Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nicolas Noury"'
Publikováno v:
SIAM Journal on Imaging Sciences
SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2013, 6 (4), pp.1956-1978. ⟨10.1137/120871766⟩
SIAM Journal on Imaging Sciences, 2013, 6 (4), pp.1956-1978. ⟨10.1137/120871766⟩
SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2013, 6 (4), pp.1956-1978. ⟨10.1137/120871766⟩
SIAM Journal on Imaging Sciences, 2013, 6 (4), pp.1956-1978. ⟨10.1137/120871766⟩
International audience; Finding point correspondences between two views is generally based on the matching of local photometric descriptors. A subsequent geometric constraint ensures that the set of matching points is consistent with a realistic came
Publikováno v:
6th International Symposium on Visual Computing-ISVC 2010
6th International Symposium on Visual Computing-ISVC 2010, Nov 2010, Las Vegas, United States. pp.231-242, ⟨10.1007/978-3-642-17289-2_23⟩
Advances in Visual Computing ISBN: 9783642172885
ISVC (1)
6th International Symposium on Visual Computing-ISVC 2010, Nov 2010, Las Vegas, United States. pp.231-242, ⟨10.1007/978-3-642-17289-2_23⟩
Advances in Visual Computing ISBN: 9783642172885
ISVC (1)
International audience; SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest between two images subject to a large viewpoin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6efffae559dc276b7f55a3cace185274
https://hal.inria.fr/inria-00515375
https://hal.inria.fr/inria-00515375
Publikováno v:
19th British Machine Vision Conference-BMVC 2008
19th British Machine Vision Conference-BMVC 2008, British Machine Vision Association, Sep 2008, Leeds, United Kingdom. pp.10
BMVC
19th British Machine Vision Conference-BMVC 2008, British Machine Vision Association, Sep 2008, Leeds, United Kingdom. pp.10
BMVC
International audience; Fundamental matrix estimation is difficult since it is often based on correspondences that are spoilt by noise and outliers. Outliers must be thrown out via robust statistics, and noise gives uncertainty. In this article we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b3887e2ce62a2363574af3f4d710136
https://hal.inria.fr/inria-00319704
https://hal.inria.fr/inria-00319704
Publikováno v:
ICIP (1)
14th IEEE International Conference on Image Processing-ICIP 2007
14th IEEE International Conference on Image Processing-ICIP 2007, Sep 2007, San Antonio, Texas, United States. pp.I-513-I-516, ⟨10.1109/ICIP.2007.4379004⟩
14th IEEE International Conference on Image Processing-ICIP 2007
14th IEEE International Conference on Image Processing-ICIP 2007, Sep 2007, San Antonio, Texas, United States. pp.I-513-I-516, ⟨10.1109/ICIP.2007.4379004⟩
ISBN: 1-4244-1437-7 ISSN: 1522-4880; International audience; This paper presents a probabilistic framework for computing correspondences and fundamental matrix in the structure from motion problem. Inspired by Moisan and Stival, we suggest using an a
Publikováno v:
HAL
[Research Report] RR-7246, INRIA. 2010
[Research Report] RR-7246, INRIA. 2010
Matching or tracking points of interest between several views is one of the keystones of many computer vision applications, especially when considering structure and motion estimation. The procedure generally consists in several independent steps, ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1e0926b5e1c82cd81acc9ff9b5265d2e
https://hal.inria.fr/inria-00471874
https://hal.inria.fr/inria-00471874