@inproceedings{berger90a,
author = {Berger, M.-O.},
title = {{Snake Growing}},
booktitle = {{Proceedings First European Conference on Computer Vision, Antibes}},
year = {1990},
volume = {427},
series = {Lecture Notes in Computer Science},
pages = {570-572},
publisher = {Springer Verlag},
category = {3},
crinnumber = {90-R-071},
editor = {O. Faugeras},
url = {http://www.loria.fr/~berger/PublisAvant2004/bergerECCV90.pdf},
equipe = {MOVI}
}
@inproceedings{berger93a,
author = {Berger, M.-O.},
title = {{Tracking Rigid and non Polyhedral Objects in an Image Sequence}},
booktitle = {{Proceedings 8th Scandinavian Conference on Image Analysis, Troms{\o}
(Norway)}},
year = {1993},
pages = {945-952},
month = may,
publisher = {IAPR},
category = {3},
crinnumber = {93-R-122},
editor = {Kjell Arild Hogda},
equipe = {MOVI}
}
@inproceedings{berger94a,
author = {Berger, M.-O.},
title = {{How to Track Efficiently Piecewise Curved Contours with a View to
Reconstructing 3D Objects}},
booktitle = {{Proceedings 12th International Conference on Pattern Recognition,
Jerusalem (Israel)}},
year = {1994},
pages = {32-36},
category = {3},
crinnumber = {94-R-170},
url = {/local/web-homepages/berger/PublisAvant2004/bergerICPR94.pdf},
equipe = {MOVI}
}
@phdthesis{berger91a,
author = {Berger, M.-O.},
title = {{Les contours actifs \,: Mod{\'e}lisation, comportement et convergence}},
school = {Institut National Polytechnique de Lorraine},
year = {1991},
address = {Vandoeuvre-l{\`e}s-Nancy},
month = feb,
category = {9},
crinnumber = {91-T-007},
equipe = {MOVI}
}
@inproceedings{berger91c,
author = {Berger, M.-O.},
title = {{Towards Dynamic Adaptation of Snake Contours}},
booktitle = {{Proceedings 6th International Conference on Image Analysis and Processing,
Como (Italy)}},
year = {1991},
month = sep,
category = {3},
crinnumber = {91-R-143},
equipe = {MOVI}
}
@inproceedings{berger90b,
author = {Berger, M.-O.},
title = {{Towards Autonomy in Active Contour Models}},
booktitle = {{Proceedings 10th International Conference on Pattern Recognition,
Atlantic City (New Jersey, USA)}},
year = {1990},
pages = {847--851},
month = jun,
category = {3},
crinnumber = {90-R-072},
url = {http://www.loria.fr/~berger/PublisAvant2004/bergerICPR90.pdf},
equipe = {MOVI}
}
@inproceedings{berger96a,
author = {Berger, M.-O. and Laprie, Y.},
title = {{Tracking Articulators in X-Ray Images with Minimal User Interaction\,:
Example of the Tongue Extraction}},
booktitle = {{Proceedings of IEEE International Conference on Image Processing
- ICIP'96, Lausanne, Switzerland}},
year = {1996},
pages = {289--292 },
month = sep,
category = {3},
crinnumber = {96-R-164},
pdf = {http://www.loria.fr/~berger/PublisAvant2004/bergerLaprieICIP96.pdf},
equipe = {ISA}
}
@inproceedings{berger92b,
author = {Berger, M.-O. and Laprie, Y.},
title = {{Global Active Method for Automatic Formant Tracking Guided by Local
Processing}},
booktitle = {{Proceedings 11th IAPR International Conference on Pattern Recognition,
The Hague (The Netherlands)}},
year = {1992},
pages = {598-601},
month = sep,
publisher = {IEEE Computer Society Press},
category = {3},
crinnumber = {92-R-142},
url = {http://www.loria.fr/~berger/PublisAvant2004/bergerLaprieICPR92.pdf},
equipe = {MOVI}
}
@inproceedings{BERGER:1998:INRIA-00098718:1,
author = {Berger, Marie-Odile and Maurice, Nicolas and Winterfeldt, Goetz and
Lethor, Jean-Paul},
title = {Automatic 3D Reconstruction of the Beating Left Ventricle Using Transthorasic
Echographic Images},
booktitle = {Computers in Cardiology, 1998},
year = {1998},
pages = {5 p},
address = {Cleveland},
url = {http://www.loria.fr/~berger/PublisAvant2004/bergerCIC98.pdf}
}
@inproceedings{berger95b,
author = {Berger, M.-O. and Mozelle, G. and Laprie, Y.},
title = {{Cooperation of Active Contours and Optical Flow for Tongue Tracking
in X-ray Motion Pictures}},
booktitle = {{Proceedings 9th Scandinavian Conference on Image Analysis}},
year = {1995},
category = {3},
crinnumber = {95-R-089},
pdf = {http://www.loria.fr/~berger/PublisAvant2004/tongueSCIA95.pdf},
equipe = {ISA}
}
@article{boyer97a,
author = {Boyer, Edmond and Berger, Marie-Odile},
title = {{3D Surface Reconstruction Using Occluding Contours}},
journal = {International Journal of Computer Vision},
year = {1997},
volume = {22},
pages = {219-233},
number = {3},
month = mar,
category = {1},
url = {http://hal.inria.fr/inria-00590069/PDF/ijcvBB96.pdf},
equipe = {ISA}
}
@inproceedings{boyer95a,
author = {Boyer , E. and Berger, M.-O.},
title = {{3D Surface Reconstruction using Occluding Contours}},
booktitle = {{Proceedings 6th International Conference on Computer Analysis of
Images and Patterns, Prague (Czech Republic)}},
year = {1995},
number = {970},
series = {Lecture Notes in Computer Science},
pages = {198-205},
month = sep,
publisher = {Springer Verlag},
category = {3},
crinnumber = {95-R-013},
equipe = {ISA}
}
@inproceedings{boyer95b,
author = {Boyer, E. and Berger, M.-O.},
title = {{Smooth Surface Reconstruction from Image Sequences}},
booktitle = {{Proceedings 1995 IEEE International Conference on Image Processing,
Washington D.C. (USA)}},
year = {1995},
month = oct,
category = {3},
pdf = {http://hal.inria.fr/inria-00590050/PDF/icip95.pdf},
equipe = {ISA}
}
@article{laprie96c,
author = {Laprie, Y. and Berger, M.-O.},
title = {{Cooperation of Regularization and Speech Heuristics to Control Automatic
Formant Tracking}},
journal = {Speech Communication},
year = {1996},
volume = {19},
pages = {255–269},
number = {4},
month = oct,
category = {1},
crinnumber = {96-R-167},
equipe = {ISA}
}
@inproceedings{laprie94a,
author = {Laprie, Y. and Berger, M.-O.},
title = {{A New Paradigm for Reliable Automatic Formant Tracking}},
booktitle = {{Proceedings of ICASSP'94, Adelaide (Australia)}},
year = {1994},
volume = {2},
pages = {201-204},
month = apr,
category = {3},
crinnumber = {93-R-244},
equipe = {DIALOGUE}
}
@inproceedings{laprie92a,
author = {Laprie, Y. and Berger, M.-O.},
title = {{Active Models for Regularizing Formant Trajectories}},
booktitle = {{Proceedings International Conference on Spoken Language Processing,
Banff (Alberta, Canada)}},
year = {1992},
volume = {1},
pages = {815-818},
month = oct,
category = {3},
crinnumber = {92-R-188},
equipe = {RFIA & DIALOGUE}
}
@inproceedings{lethor97a,
author = {Lethor, J.-P. and Winterfeldt , G. and Berger, Marie-Odile and Handschumacher,
M. and Crance, J.-P.},
title = {{Fast Automated Echographic System for 4-D Data Acquisition on Patients
Using a Transthoracic Approach}},
booktitle = {{Computers in Cardiology, Lund, Sweden}},
year = {1997},
pages = {303 - 306},
month = sep,
category = {3},
pdf = {http://www.loria.fr/~berger/PublisAvant2004/lethorCIC97.pdf},
crinnumber = {97-R-297},
equipe = {ISA}
}
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@inproceedings{berger:inria-00169216,
author = {Berger, Marie-Odile},
title = {{Realistic Face Animation From Sparse Stereo Meshes}},
booktitle = {{International Conference on Auditory-Visual Speech Processing 2007
- AVSP 2007}},
year = {2007},
pages = {62--67},
abstract = {{Being able to produce realistic facial animation is crucial for many
speech applications in language learning technologies. For reaching
realism, it is necessary to acquire and to animate dense 3D models
of the face. Recovering dense models is often achieved using stereovision
techniques. Unfortunately, reconstruction artifacts are common and
are mainly due to the difficulty to match points on untextured areas
of the face between images. In this paper, we propose a robust and
fully automatic method to produce realistic dense animation. Our
input data are a dense 3D mesh of the talker obtained for one viseme
as well as a corpus of stereo sequences of a talker painted with
markers that allows the face kinematics to be learned. The main contribution
of the paper is to transfer the kinematics learned on a sparse mesh
onto the 3D dense mesh, thus allowing dense facial animation. Examples
of face animations are provided which prove the reliability of the
proposed method.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA},
audience = {internationale },
file = {bergerAVSP.pdf:http\://hal.inria.fr/inria-00169216/PDF/bergerAVSP.pdf:PDF},
hal_id = {inria-00169216},
keywords = {Facial animation},
url = {http://hal.inria.fr/inria-00169216}
}
@inproceedings{berger:inria-00429338,
author = {Berger, Marie-Odile and Ponroy, Jonathan and Wrobel-Dautcourt, Brigitte},
title = {{Realistic Face Animation for Audiovisual Speech Applications: A
Densification Approach Driven by Sparse Stereo Meshes}},
booktitle = {{Computer Vision/Computer Graphics CollaborationTechniques 4th International
Conference, MIRAGE 2009}},
year = {2009},
volume = {5496},
series = {LNCS },
pages = {297-307},
address = {Rocquencourt, France},
month = may,
abstract = {{Being able to produce realistic facial animation is crucial for many
speech applications in language learning technologies. Reaching realism
needs to acquire and to animate dense 3D models of the face which
are often acquired with 3D scanners. However, acquiring the dy- namics
of the speech from 3D scans is difficult as the acquisition time
generally allows only sustained sounds to be recorded. On the contrary,
acquiring the speech dynamics on a sparse set of points is easy using
a stereovision recording a talker with markers painted on his/her
face. In this paper, we propose an approach to animate a very realistic
dense talking head which makes use of a reduced set of 3D dense meshes
ac- quired for sustained sounds as well as the speech dynamics learned
on a talker painted with white markers. The contributions of the
paper are twofold: We first propose an appropriate principal component
anal- ysis (PCA) with missing data techniques in order to compute
the basic modes of the speech dynamics despite possible unobservable
points in the sparse meshes obtained by the stereovision system.
We then propose a method for densifying the modes, that is a method
for computing the dense modes for spatial animation from the sparse
modes learned by the stereovision system. Examples prove the effectiveness
of the approach and the high realism obtained with our method.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA , TRIO - INRIA Lorraine - LORIA},
audience = {internationale },
doi = {10.1007/978-3-642-01811-4\_27 },
file = {mirage2009Final.pdf:http\://hal.inria.fr/inria-00429338/PDF/mirage2009Final.pdf:PDF},
hal_id = {inria-00429338},
keywords = {face animation, densification, PCA with missing data},
url = {http://hal.inria.fr/inria-00429338}
}
@inproceedings{haouchineICRA14,
author = {N. Haouchine and J. Dequidt and I. Peterlink and E. Kerrien and M.O.
Berger and S. Cotin},
title = {Towards an Accurate Tracking of Liver Tumors for Augmented Reality
in Robotic Assisted Surgery},
booktitle = {IEEE International Conference on Robotics and Automation},
year = {2014},
owner = {berger},
quality = {1},
timestamp = {2014.02.10}
}
@inproceedings{haouchine:hal-00768372,
author = {Haouchine, Nazim and Dequidt, J{\'e}r{\'e}mie and Berger, Marie-Odile
and Cotin, St{\'e}phane},
title = {{Deformation-based Augmented Reality for Hepatic Surgery}},
booktitle = {{Medicine Meets Virtual Reality, MMVR 20}},
year = {2013},
address = {San Diego, {\'E}tats-Unis},
month = feb,
abstract = {{In this paper we introduce a method for augmenting the laparoscopic
view during hepatic tumor resection. Using augmented reality techniques,
vessels, tumors and cutting planes computed from pre-operative data
can be overlaid onto the laparoscopic video. Compared to current
techniques, which are limited to a rigid registration of the pre-operative
liver anatomy with the intra-operative image, we propose a real-time,
physics-based, non-rigid registration. The main strength of our approach
is that the deformable model can also be used to regularize the data
extracted from the computer vision algorithms. We show preliminary
results on a video sequence which clearly highlights the interest
of using physics-based model for elastic registration.}},
affiliation = {SHACRA - INRIA Lille - Nord Europe / INRIA Nancy - Grand Est / LIFL
, MAGRIT - INRIA Lorraine - LORIA},
audience = {internationale },
file = {Haouchine\\_N.pdf:http\://hal.inria.fr/hal-00768372/PDF/Haouchine\\_N.pdf:PDF},
hal_id = {hal-00768372},
url = {http://hal.inria.fr/hal-00768372}
}
@inproceedings{haouchine:hal-00768362,
author = {Haouchine, Nazim and Dequidt, J{\'e}r{\'e}mie and Kerrien, Erwan
and Berger, Marie-Odile and Cotin, St{\'e}phane},
title = {{Physics-based Augmented Reality for 3D Deformable Object}},
booktitle = {{VRIPHYS - Virtual Reality Interaction and Physical Simulation}},
year = {2012},
pages = {12 p},
address = {Darmstadt, Allemagne},
month = dec,
abstract = {{This paper introduces an original method to perform augmented or
mixed reality on deformable objects. Compared to state-of-the-art
techniques, our method is able to track deformations of volumetric
objects and not only surfacic objects. A flexible framework that
relies on the combination of a 3D motion estimation and a physics-based
deformable model used as a regularization and interpolation step
allows to perform a non-rigid and robust registration. Results are
exposed, based on computer-generated datasets and video sequences
of real environments in order to assess the relevance of our approach.}},
affiliation = {SHACRA - INRIA Lille - Nord Europe / INRIA Nancy - Grand Est / LIFL
, MAGRIT - INRIA Nancy - Grand Est / LORIA},
audience = {internationale },
file = {paper1028\\_final.pdf:http\://hal.inria.fr/hal-00768362/PDF/paper1028\\_final.pdf:PDF},
hal_id = {hal-00768362},
url = {http://hal.inria.fr/hal-00768362}
}
@inproceedings{haouchine:hal-00842855,
author = {Haouchine, Nazim and Dequidt, J{\'e}r{\'e}mie and Peterlik, Igor
and Kerrien, Erwan and Berger, Marie-Odile and Cotin, St{\'e}phane},
title = {{Image-guided Simulation of Heterogeneous Tissue Deformation For
Augmented Reality during Hepatic Surgery}},
booktitle = {{ISMAR - IEEE International Symposium on Mixed and Augmented Reality
2013}},
year = {2013},
address = {Adelaide, Australie},
month = oct,
abstract = {{This paper presents a method for real-time augmentation of vas- cular
network and tumors during minimally invasive liver surgery. Internal
structures computed from pre-operative CT scans can be overlaid onto
the laparoscopic view for surgery guidance. Com- pared to state-of-the-art
methods, our method uses a real-time biomechanical model to compute
a volumetric displacement field from partial three-dimensional liver
surface motion. This permits to properly handle the motion of internal
structures even in the case of anisotropic or heterogeneous tissues,
as it is the case for the liver and many anatomical structures. Real-time
augmentation results are presented on in vivo and ex vivo data and
illustrate the benefits of such an approach for minimally invasive
surgery.}},
affiliation = {SHACRA - INRIA Lille - Nord Europe / INRIA Nancy - Grand Est / LIFL
, Universit{\'e} Lille 1 - Sciences et technologies , L'Institut
hospitalo-universitaire de Strasbourg - IHU Strasbourg , MAGRIT -
INRIA Nancy - Grand Est / LORIA},
audience = {internationale },
file = {ISMAR13-Haouchine.pdf:http\://hal.inria.fr/hal-00842855/PDF/ISMAR13-Haouchine.pdf:PDF},
hal_id = {hal-00842855},
url = {http://hal.inria.fr/hal-00842855}
}
@inproceedings{peng:inria-00442138,
author = {Peng, Ting and Kerrien, Erwan and Berger, Marie-Odile},
title = {{A shape base framework to segmentation of tongue contours from MRI
data}},
booktitle = {{35th IEEE International Conference on Acoustics, Speech, and Signal
Processing - ICASSP 2010}},
year = {2010},
pages = {662 - 665},
address = {Dallas, {\'E}tats-Unis},
month = mar,
publisher = {IEEE},
note = {ISBN: 978-1-4244-4296-6 ISSN: 1520-6149 },
abstract = {{We propose a shape-based variational framework to curve evolution
for the segmen tation of tongue contours from MRI mid-sagittal images.
In particular, we first build a PCA model on tongue contours of different
articulations of a reference s peaker, and use it as shape priors.
The parameters of the curve representation a re then manipulated
to minimize an objective function. The designed energy integ rates
both global and local image information. The global term extracts
roughly the object in the whole image domain; while the local term
improves precision in side a small neighborhood around the contour.
Promising results and comparisons with other approaches demonstrate
the efficiency of our new model.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA},
audience = {internationale },
doi = {10.1109/ICASSP.2010.5495123 },
file = {icasspPeng2010.pdf:http\://hal.inria.fr/inria-00442138/PDF/icasspPeng2010.pdf:PDF},
hal_id = {inria-00442138},
keywords = {image segmentation ; variational methods ; shape ; speech analysis
; image registrat ion},
url = {http://hal.inria.fr/inria-00442138}
}
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