Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Pierre Gurdjos"'
Autor:
Damien, Mariyanayagam, Pierre, Gurdjos, Sylvie, Chambon, Florent, Brunet, Vincent, Charvillat
Circular markers are planar markers which offer great performances for detection and pose estimation. For an uncalibrated camera with an unknown focal length, at least the images of at least two coplanar circles are generally required to recover thei
Externí odkaz:
http://arxiv.org/abs/1804.04922
Autor:
Carsten Griwodz, Fabien Castan, Simone Gasparini, Gregoire De Lillo, Yann Lanthony, Pierre Gurdjos, Lilian Calvet, Benoit Maujean
Publikováno v:
MMSys '21: Proceedings of the 12th ACM Multimedia Systems Conference : ISBN: 978-1-4503-8434-6
12th ACM Multimedia Systems Conference (MMSys 2021)
12th ACM Multimedia Systems Conference (MMSys 2021), Sep 2021, Istanbul, Turkey. pp.241-247, ⟨10.1145/3458305.3478443⟩
12th ACM Multimedia Systems Conference (MMSys 2021)
12th ACM Multimedia Systems Conference (MMSys 2021), Sep 2021, Istanbul, Turkey. pp.241-247, ⟨10.1145/3458305.3478443⟩
This paper introduces the Meshroom software and its underlying 3D computer vision framework AliceVision. This solution provides a photogrammetry pipeline to reconstruct 3D scenes from a set of unordered images. It also features other pipelines for fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7a878a9e49f54ee5840d17a6d048155
https://doi.org/10.1145/3458305.3478443
https://doi.org/10.1145/3458305.3478443
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 39:788-802
We propose a line segment and elliptical arc detector that produces a reduced number of false detections on various types of images without any parameter tuning. For a given region of pixels in a grey-scale image, the detector decides whether a line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddf8261725e203c7b2c9fa97a3a69a5f
https://doi.org/10.1109/tpami.2016.2558150
https://doi.org/10.1109/tpami.2016.2558150
Publikováno v:
Image Analysis
Michael Felsberg; Per-Erik Forssén; Ida-Maria Sintorn; Jonas Unger. Image Analysis, 11482, Springer, pp.275-286, 2019, Lecture Notes in Computer Science, 978-3-030-20204-0. ⟨10.1007/978-3-030-20205-7_23⟩
Image Analysis ISBN: 9783030202040
SCIA
Michael Felsberg; Per-Erik Forssén; Ida-Maria Sintorn; Jonas Unger. Image Analysis, 11482, Springer, pp.275-286, 2019, Lecture Notes in Computer Science, 978-3-030-20204-0. ⟨10.1007/978-3-030-20205-7_23⟩
Image Analysis ISBN: 9783030202040
SCIA
21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings; International audience; We are concerned with the problem of computing the pose of a (so-called query) camera, from the sole contour of a circular marker i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d488ef1c92217bb571be97ef266996
https://hal.archives-ouvertes.fr/hal-02353730
https://hal.archives-ouvertes.fr/hal-02353730
Publikováno v:
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2019, 28 (9), pp.4429-4443. ⟨10.1109/TIP.2019.2911484⟩
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2019, 28 (9), pp.4429-4443. ⟨10.1109/TIP.2019.2911484⟩
International audience; In the context of 2D/3D registration, this paper introduces an approach that allows for matching features detected in two different modalities, photographs, and 3D models, by using a common 2D representation. More precisely, 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f2fe4fa67cab230ae5a7fae005bbf5d
https://hal.archives-ouvertes.fr/hal-02891651/file/Rashwan_26179.pdf
https://hal.archives-ouvertes.fr/hal-02891651/file/Rashwan_26179.pdf
Publikováno v:
Proceedings of ACCV 2018
Asian Conference on Computer Vision (ACCV 2018)
Asian Conference on Computer Vision (ACCV 2018), Dec 2018, Perth, Australia. pp.1-6
Computer Vision – ACCV 2018 ISBN: 9783030208929
ACCV (3)
Asian Conference on Computer Vision (ACCV 2018)
Asian Conference on Computer Vision (ACCV 2018), Dec 2018, Perth, Australia. pp.1-6
Computer Vision – ACCV 2018 ISBN: 9783030208929
ACCV (3)
Circular markers are planar markers which offer great performances for detection and pose estimation. For an uncalibrated camera with rectangular pixels, the images of at least two coplanar circles in one view are generally required to recover the ci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e26d07fd0730330ae77937d61a77c6f0
https://hal.archives-ouvertes.fr/hal-02092924
https://hal.archives-ouvertes.fr/hal-02092924
Publikováno v:
Visual Content Indexing and Retrieval with Psycho-Visual Models ISBN: 9783319576862
Visual Content Indexing and Retrieval with Psycho-Visual Models
Benois-Pineau, Jenny; Le Callet, Patrick. Visual Content Indexing and Retrieval with Psycho-Visual Models, Springer, pp.125--144, 2017, Multimedia Systems and Applications book series (MMSA), 978-3-319-57686-2. ⟨10.1007/978-3-319-57687-9_6⟩
Visual Content Indexing and Retrieval with Psycho-Visual Models
Benois-Pineau, Jenny; Le Callet, Patrick. Visual Content Indexing and Retrieval with Psycho-Visual Models, Springer, pp.125--144, 2017, Multimedia Systems and Applications book series (MMSA), 978-3-319-57686-2. ⟨10.1007/978-3-319-57687-9_6⟩
International audience; With proliferation of mobile devices equipped with cameras and video recording applications, it is now common to observe multiple mobile cameras filming the same scene at an event from a diverse set of view angles. These recor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c54158bea4243afd9c7eaa4438f10c05
https://doi.org/10.1007/978-3-319-57687-9_6
https://doi.org/10.1007/978-3-319-57687-9_6
Publikováno v:
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016, Las Vegas, United States. pp.562-570, ⟨10.1109/CVPR.2016.67⟩
CVPR
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ; Electronic ISBN: 978-1-4673-8851-1
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Jun 2016, Las Vegas, United States. pp.562-570, ⟨10.1109/CVPR.2016.67⟩
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016, Las Vegas, United States. pp.562-570, ⟨10.1109/CVPR.2016.67⟩
CVPR
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ; Electronic ISBN: 978-1-4673-8851-1
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Jun 2016, Las Vegas, United States. pp.562-570, ⟨10.1109/CVPR.2016.67⟩
International audience; Using fiducial markers ensures reliable detection and identification of planar features in images. Fiducials are used in a wide range of applications, especially when a reliable visual reference is needed, e.g., to track the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ca7a4a21707be1f6c84c64ccc00e54d
https://hal.archives-ouvertes.fr/hal-01420665/file/Calvet_Detection_and_Accurate_CVPR_2016_paper.pdf
https://hal.archives-ouvertes.fr/hal-01420665/file/Calvet_Detection_and_Accurate_CVPR_2016_paper.pdf
Publikováno v:
Signal Processing: Image Communication
Signal Processing: Image Communication, Elsevier, 2016, 40, pp.65-81. ⟨10.1016/j.image.2015.11.006⟩
Signal Processing: Image Communication, Elsevier, 2016, 40, pp.65-81. ⟨10.1016/j.image.2015.11.006⟩
We present a thorough photometric and geometric study of the multimedia devices composed of both a matte screen and an attached camera, where it is shown that the light emitted by an image displayed on the monitor can be expressed in closed-form at a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f0a7e25b5b4af34f225afb9414ef4b
https://hal.archives-ouvertes.fr/hal-01273010/file/Queau_15049.pdf
https://hal.archives-ouvertes.fr/hal-01273010/file/Queau_15049.pdf
Publikováno v:
2016 IEEE International Conference on Image Processing (ICIP)
ICIP
ICIP
Object recognition based on local features computed at multiple locations is robust to occlusions, strong viewpoint changes and object deformations. These features should be repeatable, precise and distinctive. We present an operator for repeatable f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::472f2b35f18da9fa239e28401a713490