Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Monasse, Pascal"'
We introduce a method that simultaneously learns to explore new large environments and to reconstruct them in 3D from color images only. This is closely related to the Next Best View problem (NBV), where one has to identify where to move the camera n
Externí odkaz:
http://arxiv.org/abs/2303.03315
Next Best View computation (NBV) is a long-standing problem in robotics, and consists in identifying the next most informative sensor position(s) for reconstructing a 3D object or scene efficiently and accurately. Like most current methods, we consid
Externí odkaz:
http://arxiv.org/abs/2208.10449
Neural implicit surfaces have become an important technique for multi-view 3D reconstruction but their accuracy remains limited. In this paper, we argue that this comes from the difficulty to learn and render high frequency textures with neural netwo
Externí odkaz:
http://arxiv.org/abs/2112.09648
Deep multi-view stereo (MVS) methods have been developed and extensively compared on simple datasets, where they now outperform classical approaches. In this paper, we ask whether the conclusions reached in controlled scenarios are still valid when w
Externí odkaz:
http://arxiv.org/abs/2104.15119
We tackle the problem of finding accurate and robust keypoint correspondences between images. We propose a learning-based approach to guide local feature matches via a learned approximate image matching. Our approach can boost the results of SIFT to
Externí odkaz:
http://arxiv.org/abs/2010.10959
Usual Structure-from-Motion (SfM) techniques require at least trifocal overlaps to calibrate cameras and reconstruct a scene. We consider here scenarios of reduced image sets with little overlap, possibly as low as two images at most seeing the same
Externí odkaz:
http://arxiv.org/abs/1703.07957
Publikováno v:
JOSA A, Vol. 29, Issue 10, pp. 2134-2143 (2012)
This paper addresses the high precision measurement of the distortion of a digital camera from photographs. Traditionally, this distortion is measured from photographs of a flat pattern which contains aligned elements. Nevertheless, it is nearly impo
Externí odkaz:
http://arxiv.org/abs/1212.5656
Autor:
Laghrib, Amine, Ezzaki, Mahmoud, El Rhabi, Mohammed, Hakim, Abdelilah, Monasse, Pascal, Raghay, Said
Publikováno v:
In Computer Vision and Image Understanding March 2018 168:50-63
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, XLIII-B1-2022, pp.129-136. ⟨10.5194/isprs-archives-XLIII-B1-2022-129-2022⟩
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, XLIII-B1-2022, pp.129-136. ⟨10.5194/isprs-archives-XLIII-B1-2022-129-2022⟩
Combining image and LiDAR draws increasing interest in surface reconstruction, city and building modeling for constructing 3D virtual reality models because of their complementary nature. However, to gain from this complementarity, these data sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::427a6e0e03e865f66aae4eff49a0b66b
https://doi.org/10.5194/isprs-archives-xliii-b1-2022-129-2022
https://doi.org/10.5194/isprs-archives-xliii-b1-2022-129-2022
Publikováno v:
Image Processing On Line
Image Processing On Line, IPOL-Image Processing on Line, 2022, ⟨10.5201/ipol.2022.357⟩
Image Processing On Line, IPOL-Image Processing on Line, 2022, ⟨10.5201/ipol.2022.357⟩
International audience; In computer vision, and particularly in 3D reconstruction from images, it is customary to be faced with regression problems contaminated by outlying data. The standard and efficient method to deal with them is the Random Sampl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aca5b5710054523eae56981ba14a194
https://doi.org/10.5201/ipol.2022.357
https://doi.org/10.5201/ipol.2022.357