Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Philippe-Henri Gosselin"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 14, Pp 2173-2186 (2005)
We present a new version of our content-based image retrieval system RETIN. It is based on adaptive quantization of the color space, together with new features aiming at representing the spatial relationship between colors. Color analysis is also ext
Externí odkaz:
https://doaj.org/article/0d1410feea1a4c118280f9fa7126fffa
Autor:
Cedric Thebault, Junghyun Ahn, Gaurav Bharaj, Abdallah Dib, Philippe-Henri Gosselin, Louis Chevallier, Marco Romeo
We present a differentiable ray-tracing based novel face reconstruction approach where scene attributes - 3D geometry, reflectance (diffuse, specular and roughness), pose, camera parameters, and scene illumination - are estimated from unconstrained m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1ad1edbef7dd05b7bf9d4b5d025ab8
http://arxiv.org/abs/2101.05356
http://arxiv.org/abs/2101.05356
Autor:
Cedric Thebault, Bharath Bhushan Damodaran, Gilles Puy, Emmanuel Jolly, Paul Ghezzo, Tim Christensen, Philippe-Henri Gosselin, Pierre Hellier, Junghyun Ahn
Publikováno v:
CVMP
We present FacialFilmroll, a solution for spatially and temporally consistent editing of faces in one or multiple shots. We build upon unwrap mosaic [Rav-Acha et al. 2008] by specializing it to faces. We leverage recent techniques to fit a 3D face mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a8e9b8a20243b80269e02dd27b8eb91
Autor:
Abdallah Dib, Cedric Thebault, Junghyun Ahn, Philippe-Henri Gosselin, Christian Theobalt, Louis Chevallier
Publikováno v:
ICCV 2021
Robust face reconstruction from monocular image in general lighting conditions is challenging. Methods combining deep neural network encoders with differentiable rendering have opened up the path for very fast monocular reconstruction of geometry, li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91a0a6c9430d577dcf741bd5d327376a
Publikováno v:
Neurocomputing
Neurocomputing, Elsevier, 2015, pp.0. ⟨10.1016/j.neucom.2014.11.076⟩
Neurocomputing, Elsevier, 2015, pp.0. ⟨10.1016/j.neucom.2014.11.076⟩
International audience; This paper deals with Principal Components Analysis (PCA) of data spread over a network where central coordination and synchronous communication between networking nodes are forbidden. We propose an asynchronous and decentrali
Publikováno v:
Traitement du signal. 32:39-64
RESUME. Pour permettre la recherche par le contenu de documents multimedia repartis sur de larges reseaux, nous proposons un systeme d’indexation base sur l’apprentissage decentralise et asynchrone de dictionnaires visuels. Nous proposons un algo
Publikováno v:
IEEE Signal Processing Magazine. 32:95-102
Cultural heritage collections are being digitized and made available through online tools. Due to the large volume of documents being digitized, not enough manpower is available to provide useful annotations. Is this article, we discuss the use of au
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, In press, ⟨10.1007/s11042-017-4824-5⟩
Multimedia Tools and Applications, Springer Verlag, In press, ⟨10.1007/s11042-017-4824-5⟩
International audience; In this paper, we propose a micro-macro feature combination approach for texture classification. The two disparate yet complementary categories of features are combined. By this way, Local Binary Pattern (LBP) plays the role o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b5242f33ad9edaa642b879ade0c85d
https://hal.archives-ouvertes.fr/hal-01593393
https://hal.archives-ouvertes.fr/hal-01593393
Publikováno v:
2016 23rd International Conference on Pattern Recognition (ICPR)
23rd IEEE International Conference on Pattern Recognition (ICPR 2016)
23rd IEEE International Conference on Pattern Recognition (ICPR 2016), Dec 2016, Cancun, Mexico. ⟨10.1109/ICPR.2016.7899931⟩
ICPR
23rd IEEE International Conference on Pattern Recognition (ICPR 2016)
23rd IEEE International Conference on Pattern Recognition (ICPR 2016), Dec 2016, Cancun, Mexico. ⟨10.1109/ICPR.2016.7899931⟩
ICPR
International audience; Regarding texture features, Local-based methods such as Local Binary Pattern (LBP) and its variants are computationally efficient high-performing but sensitive to noise, and suffering global structure information loss. By cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f485408a9ee6873bfc65960c39e511bd
https://hal.archives-ouvertes.fr/hal-01593389
https://hal.archives-ouvertes.fr/hal-01593389
Autor:
David Picard, Philippe-Henri Gosselin
Publikováno v:
Computer Vision and Image Understanding
Computer Vision and Image Understanding, Elsevier, 2013, 117 (6), pp.680-687. ⟨10.1016/j.cviu.2013.02.004⟩
Computer Vision and Image Understanding, Elsevier, 2013, 117 (6), pp.680-687. ⟨10.1016/j.cviu.2013.02.004⟩
HighlightsÂ? New features for image search and object categorization. Â? Linearization of Kernels on Bags. Â? Derivative of second order statistics. Â? Linear/dot product metric. In this paper, we introduce a novel image signature effective in bo