@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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