Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Marc Lievin"'
Autor:
Marc Lievin, Erwin Keeve
Publikováno v:
CARS
A first architecture for an augmented reality system in computer-assisted surgery is presented in this paper. Like in “X-ray vision” systems, a stereoscopic overlay is visually superimposed on the patient. The main purpose of our approach is user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f5e701aee0a72d84c5736cdfb68a7c1
https://doi.org/10.1016/s0531-5131(01)00017-6
https://doi.org/10.1016/s0531-5131(01)00017-6
Publikováno v:
Signal Processing
Signal Processing, Elsevier, 1999, 76 (1), pp.61-80
Signal Processing, Elsevier, 1999, 76 (1), pp.61-80
International audience; In this paper, a spatiotemporal strategy for image sequence analysis is proposed: a video sequence is processed as a 3-D data batch instead of a series of 2-D images. Applying this approach to motion detection, a 3-D Markovian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdb3a8083d63af09f125efd7128f4638
https://doi.org/10.1016/s0165-1684(98)00247-3
https://doi.org/10.1016/s0165-1684(98)00247-3
An algorithm for lip contour extraction is presented in this chapter. A colour video sequence of a speaker’s face is acquired under natural lighting conditions without any particular set-up, make-up, or markers. The first step is to perform a logar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79e30fd8a9f1f05809589e34f4c89e93
https://doi.org/10.4018/978-1-60566-186-5.ch006
https://doi.org/10.4018/978-1-60566-186-5.ch006
Autor:
B. von Rymon-Lipinski, Marc Lievin, Lutz Ritter, Nils Hanssen, Z. Burgielski, Erwin Keeve, Thomas Jansen
Publikováno v:
ISBI
In this paper, we present a novel method for 3D segmentation of the nerve channels in the human mandible that contain the nervus alveolaris inferior. The technique utilizes geodesic active surfaces that are implemented with level sets. The method con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1c2953e2673f405998aac328772c20b
https://doi.org/10.1109/isbi.2004.1398509
https://doi.org/10.1109/isbi.2004.1398509
Autor:
Marc Lievin, Patrice Delmas
Publikováno v:
ICARCV
An unsupervised framework for face analysis aiming at lip tracking is presented in this paper. A colour video sequence of a speaker's face is simply acquired by a desktop camera under natural lighting conditions and without any particular make-up. Af
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dd726a90a960fb138496bb57f27cc45
https://doi.org/10.1109/icarcv.2002.1234981
https://doi.org/10.1109/icarcv.2002.1234981
Publikováno v:
Signal Processing
Signal Processing, Elsevier, 2004, 84, pp.1789-1804
Signal Processing, Elsevier, 2004, 84, pp.1789-1804
International audience; This paper deals with an entropic approach as unsupervised thresholding technique for image processing, in order to extract a relevant binary information from noisy data. It is dedicated to situations where a signal of relativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43cc9441b957d4db8e5fb67ebdb1ef8f
https://hal.archives-ouvertes.fr/hal-00408655/document
https://hal.archives-ouvertes.fr/hal-00408655/document
Nonlinear Color Space and Spatiotemporal MRF for Hierarchical Segmentation of Face Features in Video
Autor:
Franck Luthon, Marc Lievin
Publikováno v:
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2004, 13 (1), pp.63-71. ⟨10.1109/TIP.2003.818013⟩
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2004, 13 (1), pp.63-71. ⟨10.1109/TIP.2003.818013⟩
International audience; This paper addresses the design of the image processing stage for face analysis. In human computer interfaces, user-friendliness requires robustness and good quality in image processing. To cope with unsupervised lighting cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e18e0146e8230399cfaf2401d523436
https://hal.archives-ouvertes.fr/hal-00785936
https://hal.archives-ouvertes.fr/hal-00785936
Publikováno v:
ICPR (2)
An algorithm for the automatic extraction of speakers lips in video sequences is presented. Our goal is to extract minimum face feature parameters, vital for audio-visual communication, in adverse conditions and at a very low bit rate coding. Our met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0898172d89bacba6229342b415c3a78b
https://doi.org/10.1109/icpr.2002.1048356
https://doi.org/10.1109/icpr.2002.1048356
Autor:
Thomas Jansen, Zbigniew Burgielski, Nils Hanssen, Erwin Keeve, Marc Lievin, Lutz Ritter, Bartosz von Rymon-Lipinski
Publikováno v:
Surgery Simulation and Soft Tissue Modeling ISBN: 9783540404392
IS4TH
IS4TH
In this paper we introduce the extendible and cross-platform software framework Julius. Julius combines both pre-operative planning and intraoperative assistance within one single environment. In this paper we discuss three aspects of Julius: the med
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::592517c351b70c064163ef19381c602b
https://doi.org/10.1007/3-540-45015-7_29
https://doi.org/10.1007/3-540-45015-7_29
Publikováno v:
16th International Conference on Pattern Recognition, ICPR 2002
16th International Conference on Pattern Recognition, ICPR 2002, Aug 2002, Quebec, Canada. pp.871-874, ⟨10.1109/ICPR.2002.1048166⟩
Scopus-Elsevier
ICPR (3)
16th International Conference on Pattern Recognition, ICPR 2002, Aug 2002, Quebec, Canada. pp.871-874, ⟨10.1109/ICPR.2002.1048166⟩
Scopus-Elsevier
ICPR (3)
International audience; This paper presents an unsupervised approach for medical volume restoration. To cope with various scanning modalities and strongly corrupted data, an original information tool is introduced: the entropic deviation. To validate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f428be990aa1c5f94087c3aa9d6da443
https://hal-univ-pau.archives-ouvertes.fr/hal-01912840
https://hal-univ-pau.archives-ouvertes.fr/hal-01912840