Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Augustin Lux"'
Publikováno v:
ICCI*CC 2018-17th IEEE International Conference on Cognitive Informatics and Cognitive Computing
ICCI*CC 2018-17th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Jul 2018, Berkeley, United States. pp.1-8
ICCI*CC
ICCI*CC 2018-17th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Jul 2018, Berkeley, United States. pp.1-8
ICCI*CC
International audience; Bayesian models and stochastic computing form a promising paradigm for non-conventional, bio-inspired computation architectures. In particular, they are able to handle uncertainty and promise low power consumption. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ac60badddd121377f37673b59ea7c39
https://hal.archives-ouvertes.fr/hal-01867789
https://hal.archives-ouvertes.fr/hal-01867789
Autor:
Laurent Girin, Raphaël Laurent, Pierre Bessière, Laurent Fesquet, Raphael Frisch, Emmanuel Mazer, Augustin Lux, Jacques Droulez, Marvin Faix
Publikováno v:
ICRC 2017-IEEE International Conference on Rebooting Computing
ICRC 2017-IEEE International Conference on Rebooting Computing, Nov 2017, Washington, DC, United States. pp.1-8
HAL
ICRC
ICRC 2017-IEEE International Conference on Rebooting Computing, Nov 2017, Washington, DC, United States. pp.1-8
HAL
ICRC
International audience; Compared to conventional processors, stochastic computing architectures have strong potential to speed up computation time and to reduce power consumption. We present such an architecture, called Bayesian Machine (BM), dedicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::821909586c55c0d8f2af664b49550043
https://hal.archives-ouvertes.fr/hal-01644346/document
https://hal.archives-ouvertes.fr/hal-01644346/document
Publikováno v:
Распознавание образов и анализ изображен / Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications
Распознавание образов и анализ изображен / Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, 2015, 25 (3), pp.430-436. ⟨10.1134/S1054661815030086⟩
Распознавание образов и анализ изображен / Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, MAIK Nauka/Interperiodica (МАИК Наука/Интерпериодика), 2015, 25 (3), pp.430-436. ⟨10.1134/S1054661815030086⟩
Распознавание образов и анализ изображен / Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, 2015, 25 (3), pp.430-436. ⟨10.1134/S1054661815030086⟩
Распознавание образов и анализ изображен / Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, MAIK Nauka/Interperiodica (МАИК Наука/Интерпериодика), 2015, 25 (3), pp.430-436. ⟨10.1134/S1054661815030086⟩
International audience; In this paper we present a technique for facial expression analysis and representing the underlyingemotions in the affect space. We develop a purely appearance based approach using Multi!scale Gaussianderivatives and Support V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e503adddfbc3b0dc40e2322c3ff9814
https://hal.science/hal-01254487v2/document
https://hal.science/hal-01254487v2/document
Autor:
Augustin Lux
Publikováno v:
Machine Vision and Applications. 16:21-26
We propose a method of constructing computer vision systems using a workbench based on a rich extensible toolbox and a general-purpose kernel. The toolbox provides access to an open set of libraries; the kernel provides incremental dynamic system con
Publikováno v:
AVEC@MM
ACM Multimedia 2014
ACM Multimedia 2014, Nov 2014, Orlando, FL, United States. ⟨10.1145/2661806.2661817⟩
ACM Multimedia 2014
ACM Multimedia 2014, Nov 2014, Orlando, FL, United States. ⟨10.1145/2661806.2661817⟩
International audience; We investigate the use of two visual descriptors: Local Bi-nary Patterns-Three Orthogonal Planes(LBP-TOP) and Dense Trajectories for depression assessment on the AVEC 2014 challenge dataset. We encode the visual information ge
Publikováno v:
ICPR 2014, 22nd International Conference on Pattern Recognition
ICPR 2014, 22nd International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden
ICPR
ICPR 2014, 22nd International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden
ICPR
International audience; We present a new visual descriptor that combines a multi-scale Laplacian Profile with a Radial Discrete Fourier Transform. This descriptor exists at every position and scale in an image and provides a local feature vector that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::529264de4ad29ea73201d6d55e6ed00a
https://inria.hal.science/hal-01065463
https://inria.hal.science/hal-01065463
Publikováno v:
ICPR
ICPR 2014-22nd International Conference on Pattern Recognition
ICPR 2014-22nd International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. ⟨10.1109/ICPR.2014.683⟩
ICPR 2014-22nd International Conference on Pattern Recognition
ICPR 2014-22nd International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. ⟨10.1109/ICPR.2014.683⟩
International audience; In this paper we present a new static descriptor for facial image analysis. We combine Gaussian derivatives with Local Binary Patterns to provide a robust and powerful descriptor especially suited to extracting texture from fa
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319117577
ICIAR (1)
International Conference on Image Analysis and Recognition, ICIAR 2014
International Conference on Image Analysis and Recognition, ICIAR 2014, Oct 2014, Vilamoura, Algarve, Portugal. pp.46-54, ⟨10.1007/978-3-319-11758-4_6⟩
ICIAR (1)
International Conference on Image Analysis and Recognition, ICIAR 2014
International Conference on Image Analysis and Recognition, ICIAR 2014, Oct 2014, Vilamoura, Algarve, Portugal. pp.46-54, ⟨10.1007/978-3-319-11758-4_6⟩
International audience; We propose a new local multiscale image descriptor of vari-able size. The descriptor combines Laplacian of Gaussian values at dif-ferent scales with a Radial Fourier Transform. This descriptor provides a compact description of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5065c1c0d43adda271714d6551827fdb
https://doi.org/10.1007/978-3-319-11758-4_6
https://doi.org/10.1007/978-3-319-11758-4_6
Publikováno v:
Local Binary Patterns: New Variants and Applications ISBN: 9783642392887
Local Binary Patterns
Local Binary Patterns
We present a tensorial framework based in Histograms of Gaussian Binary Maps for facial analysis. The chapter defines and discusses the different steps to build a tensorial representation taking into account the different possible dimensions as orien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76821eb3fde3b3095ae526452672eeb2
https://doi.org/10.1007/978-3-642-39289-4_11
https://doi.org/10.1007/978-3-642-39289-4_11
Publikováno v:
Computer Vision – ECCV 2012. Workshops and Demonstrations ISBN: 9783642338847
ECCV Workshops (3)
ECCV Workshops (3)
In this paper, we show that a cascade of classifiers using Gaussian derivatives features up to fourth order can be used efficiently to improve the detection performance and robustness as well when compared with the popular approaches using Haar-like
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa6f39460a0da554e7bb8e39d47f99e
https://doi.org/10.1007/978-3-642-33885-4_57
https://doi.org/10.1007/978-3-642-33885-4_57