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9 results on '"équipe RV'

1. Visual Fatigue Reduction for Immersive Stereoscopic Displays by Disparity, Content, and Focus-Point Adapted Blur

Author

Laure Leroy, Philippe Fuchs, Guillaume Moreau, Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), équipe RV&RA, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, Centre de recherche méthodologique d'architecture (CERMA), Ambiances architecturales et urbaines (AAU), Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture et de la Communication (MCC)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture et de la Communication (MCC)-École Centrale de Nantes (ECN), Cybermédia, Interactions, Transdisciplinarité et Ubiquité ( CITU), Laboratoire Paragraphe (PARAGRAPHE), Université Paris 8 Vincennes-Saint-Denis (UP8)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université de Cergy Pontoise (UCP), and Université Paris-Seine-Université Paris-Seine

Subjects
Visual perception, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Stereoscopy, 02 engineering and technology, Eye protection, law.invention, law, Computer graphics (images), Autostereoscopy, 0202 electrical engineering, electronic engineering, information engineering, Immersion (virtual reality), Computer vision, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, Image restoration, business.industry, 020207 software engineering, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], Visualization, Lens (optics), Stereopsis, Control and Systems Engineering, Eye tracking, 020201 artificial intelligence & image processing, Artificial intelligence, business
Abstract

As stereoscopic devices become widely used (immersion-based working environments, stereoscopically viewed movies, autostereoscopic screens, etc), exposure to stereoscopic images can become lengthy, and some eyestrain can set in. We propose a method for reducing eyestrain induced by stereoscopic vision. After reviewing sources of eyestrain linked to stereoscopic vision, we will focus on one of these sources: images with high-frequency contents associated with large disparities. We will put forward an algorithm for removing irritating high frequencies in high disparity zones (i.e., for virtual objects appearing far from the real screen level). We will elaborate on our testing protocol to establish that our processing reduces eyestrain caused by stereoscopic vision, both objectively and subjectively. We will subsequently quantify the positive effects of our algorithm on the relief of eyestrain. As our processing alters the visual quality of the virtual world, we propose a new adaptation of our method to remove this drawback by coupling an eye tracking to our original processing to keep visual quality on the focus point.

Published
2012
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2. DENSE STEREO CORRESPONDENCE USING QUARTERS OF WAVELET TRANSFORM

Author

Sébastien Regis, Guillaume Moreau, Philippe Fuchs, Andrei Doncescu, Laboratoire de Mathématiques Informatique et Applications (LAMIA), Université des Antilles et de la Guyane (UAG), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), équipe RV&RA, Centre de Robotique (CAOR), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Centre de recherche méthodologique d'architecture (CERMA), Ambiances architecturales et urbaines (AAU), École Centrale de Nantes (ECN)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, and Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture et de la Communication (MCC)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture et de la Communication (MCC)-École Centrale de Nantes (ECN)

Subjects
Matching (graph theory), Pixel, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Estimator, Wavelet transform, Quarter (United States coin), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Image (mathematics), Discontinuity (linguistics), Wavelet, Artificial Intelligence, Computer vision, Computer Vision and Pattern Recognition, Artificial intelligence, business, ComputingMilieux_MISCELLANEOUS, Software, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

In stereo research the construction of a dense disparity map is a complicated task when the scene contains a lot of occlusions. In this case in the neighborhood of occlusions, we could consider that the images have a non-stationary behavior. In this paper we propose a new method for computing a dense disparity map using the decomposition of the 2D wavelet transform in four quarters allowing us to find a corresponding pixel in the case of occlusion as well. Our algorithm constructs in each pixel of two images four estimators corresponding to each quarter. The matching of the four wavelet coefficient estimators in the right image with the other four in the left image allow us to construct a dense map disparity map in each pixel of an image.

Published
2005
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3. Real-time adaptive blur for reducing eye strain in stereoscopic displays

Author

Guillaume Moreau, Philippe Fuchs, Laure Leroy, Cybermédia, Interactions, Transdisciplinarité et Ubiquité ( CITU), Laboratoire Paragraphe (PARAGRAPHE), Université Paris 8 Vincennes-Saint-Denis (UP8)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine, Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Centre de recherche méthodologique d'architecture (CERMA), Ambiances architecturales et urbaines (AAU), Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture et de la Communication (MCC)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture et de la Communication (MCC)-École Centrale de Nantes (ECN), équipe RV&RA, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris

Subjects
genetic structures, General Computer Science, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Experimental and Cognitive Psychology, Image processing, Stereoscopy, 02 engineering and technology, Virtual reality, Theoretical Computer Science, law.invention, law, Computer graphics (images), 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, Computer vision, 050107 human factors, ComputingMilieux_MISCELLANEOUS, ComputingMethodologies_COMPUTERGRAPHICS, business.industry, 05 social sciences, ComputingMilieux_PERSONALCOMPUTING, 020207 software engineering, eye diseases, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], Stereopsis, Artificial intelligence, business
Abstract

Stereoscopic devices are widely used (immersion-based working environments, stereoscopically-viewed movies, auto-stereoscopic screens). In some instances, exposure to stereoscopic immersion techniques can be lengthy, and so eye strain sets in. We propose a method for reducing eye strain induced by stereoscopic vision. After reviewing sources of eye strain linked to stereoscopic vision, we focus on one of these sources: images with high frequency content associated with large disparities. We put forward an algorithm for removing the irritating high frequencies in high horizontal disparity zones (i.e., for virtual objects appearing far from the real screen level). We elaborate on our testing protocol to establish that our image processing method reduces eye strain caused by stereoscopic vision, both objectively and subjectively. We subsequently quantify the positive effects of our algorithm on the relief of eye strain and discuss further research perspectives.

Published
2012
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4. An Evaluation of Rendering and Interactive Methods for Volumetric Data Exploration in Virtual Reality Environments

Author

Alexis Paljic, Nan Wang, Philippe Fuchs, Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), équipe RV&RA, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris

Subjects
Parallel rendering, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scientific visualization, 020207 software engineering, 02 engineering and technology, Virtual reality, Real-time rendering, 3D rendering, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], Rendering (computer graphics), Visualization, Computer graphics (images), Isosurface, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, ComputingMilieux_MISCELLANEOUS, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

International audience; In this paper we evaluate one interaction method and four display techniques for exploring volumetric datasets in virtual reality immersive environments. We propose an approach based on the display of a subset of the volumetric data, as isosurfaces, and an interactive manipulation of the isosurfaces to allow the user to look for local feature in the datasets. We also studied the influence of four different rendering techniques for isosurface rendering in a virtual reality system. The study is based on a search and point task in a 3D temperature field. User precision, task completion time and user movement were evaluated during the test. The study allowed to choose the most suitable rendering mode for isosurface representation, and provided guidelines for data exploration tasks in immersive environments.

Published
2012
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5. High resolution insets for stereocopic immersive displays

Author

Caroline de Bossoreille, Philippe Fuchs, Gabriel Soubies, Alexis Paljic, Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), équipe RV&RA, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris

Subjects
business.industry, Computer science, Resolution (electron density), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, High resolution, Stereoscopy, Virtual reality, Head tracking, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], Large screen, law.invention, law, Distortion, Computer graphics (images), Content (measure theory), Computer vision, Artificial intelligence, business, ComputingMilieux_MISCELLANEOUS
Abstract

This poster presents a novel approach for integrating, as insets, high resolution stereoscopic areas within a wider low resolution stereoscopic image. The objective is to propose ways to increase local resolution in virtual reality systems, with the use of a small number of additional projectors. Our novel approach consists of inserting high resolution areas whose shape depends on the geometry of 3D objects. For comparison purposes, an existing method is implemented, it consists of setting a rectangular high resolution inset. Both methods are implemented in a large screen VR system with active stereoscopy and head tracking. A user study meant to check for shape perception discrepancies between the two methods was performed. Results show that the novel technique does not introduce any perception distortion in shape size.

Published
2009
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6. Extraction of layers of similar motion through combinatorial techniques

Author

Renaud Keriven, Romain Dupont, Phillipe Fuchs, Nikos Paragios, Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université Paris-Est Marne-la-Vallée (UPEM), École des Ponts ParisTech (ENPC), Centre d'Enseignement et de Recherche en Technologies de l'Information et Systèmes (CERTIS), équipe RV&RA, Centre de Robotique (CAOR), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris

Subjects
Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, 01 natural sciences, Occultation, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], 010104 statistics & probability, Motion field, Motion estimation, Pattern recognition (psychology), 0202 electrical engineering, electronic engineering, information engineering, Structure from motion, 020201 artificial intelligence & image processing, Computer vision, Affine transformation, Artificial intelligence, 0101 mathematics, business
Abstract

International audience; In this paper we present a new technique to extract layers in a video sequence. To this end, we assume that the observed scene is composed of several transparent layers, that their motion in the 2D plane can be approximated with an affine model. The objective of our approach is the estimation of these motion models as well as the estimation of their support in the image domain. Our technique is based on an iterative process that integrates robust motion estimation, MRF-based formulation, combinatorial optimization and the use of visual as well as motion features to recover the parameters of the motion models as well as their support layers. Special handling of occlusions as well as adaptive techniques to detect new objects in the scene are also considered. Promising results demonstrate the potentials of our approach.

Published
2005
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7. An improved calibration technique for coupled single-row telemeter and CCD camera

Author

Renaud Keriven, Romain Dupont, Philippe Fuchs, Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), équipe RV&RA, Centre de Robotique (CAOR), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Centre d'Enseignement et de Recherche en Technologies de l'Information et Systèmes (CERTIS), École des Ponts ParisTech (ENPC), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris

Subjects
0209 industrial biotechnology, business.industry, Computer science, Photography, 3D reconstruction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Iterative reconstruction, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], 020901 industrial engineering & automation, Planar, Image texture, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, Calibration, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, ComputingMilieux_MISCELLANEOUS, Telemeter
Abstract

Toward a successful 3D and textural reconstruction of urban scenes, the use of both single-row based telemetric and photographic data in a same framework has proved to be a powerful technique. A necessary condition to obtain good results is to accurately calibrate the telemetric and photographic sensors together. We present a study of this calibration process and propose an improved extrinsic calibration technique. It is based on an existing technique which consists in scanning a planar pattern in several poses, giving a set of relative position and orientation constraints. The innovation is the use of a more appropriate laser beam distance between telemetric points and the planar target. Moreover, we use robust methods to manage outliers at several steps of the algorithm. Improved results on both theoretical and experimental data are given.

Published
2005
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8. Homotopy-Based Estimation of Depth Cues in Spatial Domain

Author

Philippe Fuchs, Djemel Ziou, François Deschenes, Département d'informatique [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Université de Sherbrooke (UdeS), équipe RV&RA, Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)

Subjects
business.industry, Homotopy, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, System of linear equations, 01 natural sciences, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], Convolution, Approximation error, Computer Science::Computer Vision and Pattern Recognition, Motion estimation, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Zoom, 010306 general physics, Depth perception, business, Image resolution, ComputingMilieux_MISCELLANEOUS, Mathematics
Abstract

We present a homotopy-based algorithm for a cooperative and simultaneous estimation of defocus blur and spatial shifts (2D motion, stereo disparities and/or zooming disparities) in the spatial domain. These cues are estimated from two images of the same scene acquired by a camera evolving in time and/or space and for which the intrinsic parameters are known. We show that these depth cues can be directly computed by resolving a system of equations embedded in a family of systems using a homotopy method. The results confirm that the use of homotopies reduces approximation errors and thus leads to a denser and more accurate estimation of depth cues.

Published
2002

9. Teleoperation et Augmented Reality

Author

P. Fuchs, C. Laurgeau, D. Ernadotte, Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), équipe RV&RA, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris

Subjects
Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, Image processing, 0102 computer and information sciences, 02 engineering and technology, Image segmentation, Virtual reality, Real image, 01 natural sciences, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], 010201 computation theory & mathematics, Depth map, Computer graphics (images), Video tracking, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Augmented reality, Artificial intelligence, business, Camera resectioning
Abstract

International audience; We have developed a depth map transform algorithm that converts the depth data according to a video image. The algorithm consists of four steps: a depth map analysis, a video image analysis, a depth map and video image relation creation and finally a depth surface transformation depending on the relation established previously. We show how these four steps are performed assuming that the two maps have nearly equal features. This technic is used with nearly compatible depth map and video image in order to create a quite compatible set allowing virtual objects integration in real images. This is an important aspect of augmented reality since it enables the hidden faces calculation of virtual objects in coherence with the video image even when work conditions hinder accurate camera calibration or model of the real scene is not perfectly known

Published
1997
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