Zobrazeno 1 - 10
of 406
pro vyhledávání: '"Pascal Monasse"'
Publikováno v:
Image Processing On Line, Vol 6, Pp 89-113 (2016)
In a stereo image pair, the fundamental matrix encodes the rigidity constraint of the scene. It combines the internal parameters of both cameras (which can be the same) and their relative position and orientation. It associates to image points in one
Externí odkaz:
https://doaj.org/article/70065202a5334df6a459c3b5377a2ccd
Autor:
Laura Fernández Julià, Pascal Monasse
Publikováno v:
Image Processing On Line, Vol 5, Pp 73-89 (2015)
Visual correspondence is the key for 3D reconstruction in binocular stereovision. Local methods perform block-matching to compute the disparity, or apparent motion, of pixels between images. The simplest approach computes the distance of patches, usu
Externí odkaz:
https://doaj.org/article/07c5d0babcc24dc8a91eaeeb44e9ff6a
Publikováno v:
Image Processing On Line, Vol 4, Pp 220-251 (2014)
Binocular stereovision estimates the three-dimensional shape of a scene from two photographs taken from different points of view. In rectified epipolar geometry, this is equivalent to a matching problem. This article describes a method proposed by Ko
Externí odkaz:
https://doaj.org/article/2991298380e8467c87727ce38f47a4f6
Autor:
Pauline Tan, Pascal Monasse
Publikováno v:
Image Processing On Line, Vol 4, Pp 252-275 (2014)
Estimating the depth, or equivalently the disparity, of a stereo scene is a challenging problem in computer vision. The method proposed by Rhemann et al. in 2011 is based on a filtering of the cost volume, which gives for each pixel and for each hypo
Externí odkaz:
https://doaj.org/article/3c0470c94c204c0e9304f5e06ea16260
Publikováno v:
Image Processing On Line
Image Processing On Line, IPOL-Image Processing on Line, 2022, ⟨10.5201/ipol.2022.373⟩
Image Processing On Line, IPOL-Image Processing on Line, 2022, ⟨10.5201/ipol.2022.373⟩
International audience; As a substitute to a full segmentation of a digital image, or as preprocessing to a segmentation algorithm, superpixels provide an over-segmentation that offers several benefits: good adherence to edges, uniformity of color in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::780ffb3ffdd360e9195bd07d3442a6c8
https://hal-enpc.archives-ouvertes.fr/hal-03651336
https://hal-enpc.archives-ouvertes.fr/hal-03651336
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
Image Processing On Line, Vol 2, Pp 56-73 (2012)
The RANSAC algorithm (RANdom SAmple Consensus) is a robust method to estimate parameters of a model fitting the data, in presence of outliers among the data. Its random nature is due only to complexity considerations. It iteratively extracts a random
Externí odkaz:
https://doaj.org/article/5dc2afe95cc2487c963ffc7d1b15ae7c
Autor:
Pascal Monasse
Publikováno v:
Image Processing On Line, Vol 1, Pp 187-199 (2011)
The standard setup in reconstructing the three-dimensional geometry of a scene from a pair of stereo images is to have them rectified, in which case the apparent motion of points is horizontal. With pinhole cameras, it is always possible to find two
Externí odkaz:
https://doaj.org/article/d8efd6da0529490db89d9948637b2c9a
Autor:
Pascal Monasse
Publikováno v:
Image Processing On Line
Image Processing On Line, IPOL-Image Processing on Line, 2019, 9, pp.205-219. ⟨10.5201/ipol.2019.269⟩
Image Processing On Line, IPOL-Image Processing on Line, 2019, 9, pp.205-219. ⟨10.5201/ipol.2019.269⟩
International audience; We detail precisely an algorithm for the extraction of the level lines of a bilinear image, which is a continuous function interpolating bilinearly a discrete image. If we discard the levels of the discrete image, where topolo