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Papers by Sylvain Bougnoux

Research paper thumbnail of Imposing Euclidean Constraints During Self-Calibration Processes

Lecture Notes in Computer Science, 1998

Using Euclidean constraints to model large 3D environment is made possible. This has been a chall... more Using Euclidean constraints to model large 3D environment is made possible. This has been a challenging issue for many years. Using such knowledge, not only enlarges the number of feasible cases but it also provides perfect results, unreachable formerly. We deal with a limited set of constraints composed of incidence relations, parallelism, and orthogonality. Those knowledges are given manually, are

Research paper thumbnail of Experimental Evaluation of Multi-cue Monocular Pedestrian Detection System Using Built-In Rear View Camera

2007 7th International Conference on ITS Telecommunications, 2007

Algorithms for pedestrian detection based on multi-cue computer vision systems have become increa... more Algorithms for pedestrian detection based on multi-cue computer vision systems have become increasingly sophisticated and have been shown capable of achieving high detection performance for moderate range of applications. In particular, it has been demonstrated that a key successes lies in the integration of both single frame and over time measured cues and via building up additional object categories consisting

Research paper thumbnail of Monocular vision obstacles detection for autonomous navigation

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Autonomous robot navigation has many applications such as space exploration and autonomous vehicl... more Autonomous robot navigation has many applications such as space exploration and autonomous vehicles. Currently, such navigation is ensured by the use of multiple sensors which may hinder quick commercialization. In this article, we propose a solution for navigating a robot in an unknown environment using only monocular vision algorithms.

Research paper thumbnail of Interactive Common Illumination for Computer Augmented Reality

Eurographics, 1997

The advent of computer augmented reality (CAR), in which computer generated objects mix with real... more The advent of computer augmented reality (CAR), in which computer generated objects mix with real video images, has resulted in many interesting new application domains. Providing common illumination between the real and synthetic objects can be very beneficial, since the additional visual cues (shadows, interreflections etc.) are critical to seamless real-synthetic world integration. Building on recent advances in computer graphics and computer vision, we present a new framework to resolving this problem. We address three specific aspects of the common illumination problem for CAR: (a) simplification of camera calibration and modeling of the real scene; (b) efficient update of illumination for moving CG objects and (c) efficient rendering of the merged world. A first working system is presented for a limited sub-problem: a static real scene and camera with moving CG objects. Novel advances in computer vision are used for camera calibration and user-friendly modeling of the real scene, a recent interactive radiosity update algorithm is adapted to provide fast illumination update and finally textured polygons are used for display. This approach allows interactive update rates on mid-range graphics workstations. Our new framework will hopefully lead to CAR systems with interactive common illumination without restrictions on the movement of real or synthetic objects, lights and cameras.

Research paper thumbnail of Evaluation of a vision-based parking assistance system

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., 2005

Quantitative evaluation of our parking assistance system (PAS) is required by automotive industry... more Quantitative evaluation of our parking assistance system (PAS) is required by automotive industry. Main factors for the PAS quality are accuracy, density and robustness. Main technology for the PAS is a vision-based point-tracker. In this paper, the quantitative evaluation of the PAS is boiled down to the evaluation of those factors on the point-tracker. It is achieved using a reference

Research paper thumbnail of 3D vision system for vehicles

IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683), 2003

Throughout this decade, several works about automated driving systems have been dedicated to coll... more Throughout this decade, several works about automated driving systems have been dedicated to collision avoidance, and it has already been proved that image technology can be useful in this area. Effectively, image technology provides additional information to the driver of a vehicle to easily understand driving or parking situations. For example, a backing assistance system using a rear video camera

Research paper thumbnail of Movement Detection for Safer Backward Maneuvers

2006 IEEE Intelligent Vehicles Symposium, 2006

Backing-up accidents are responsible for about 120 deaths and more than 6000 injuries every year ... more Backing-up accidents are responsible for about 120 deaths and more than 6000 injuries every year in the US. IMRA-Europe has been working on a static obstacles detection system for a few years now. We propose to complement this with a system capable of detecting and localizing in real-time moving obstacles even when the vehicle is moving. This system is based

Research paper thumbnail of 3D parking assistant system

IEEE Intelligent Vehicles Symposium, 2004, 2004

We present the evolution of our prototype for a new generation of circumstance recognition system... more We present the evolution of our prototype for a new generation of circumstance recognition system. This prototype provides the driver a D representation of the scene surrounding his vehicle. We focus essentially on the improvement of quality and robustness of the set of 3D points reconstructed by tracking from acquisitions and on a process of obstacle modeling from this set of 3D points to achieve a good degree of realism.

Research paper thumbnail of Improving backing-up manoeuvre safety with vision-based movement detection

IET Intelligent Transport Systems, 2007

Research paper thumbnail of Totalcalib: a fast and reliable system for off-line calibration of images sequences

Computer Vision and Pattern Recognition, 1997

Research paper thumbnail of Imposing Euclidean Constraints During Self-Calibration Processes

Lecture Notes in Computer Science, 1998

Using Euclidean constraints to model large 3D environment is made possible. This has been a chall... more Using Euclidean constraints to model large 3D environment is made possible. This has been a challenging issue for many years. Using such knowledge, not only enlarges the number of feasible cases but it also provides perfect results, unreachable formerly. We deal with a limited set of constraints composed of incidence relations, parallelism, and orthogonality. Those knowledges are given manually, are

Research paper thumbnail of Experimental Evaluation of Multi-cue Monocular Pedestrian Detection System Using Built-In Rear View Camera

2007 7th International Conference on ITS Telecommunications, 2007

Algorithms for pedestrian detection based on multi-cue computer vision systems have become increa... more Algorithms for pedestrian detection based on multi-cue computer vision systems have become increasingly sophisticated and have been shown capable of achieving high detection performance for moderate range of applications. In particular, it has been demonstrated that a key successes lies in the integration of both single frame and over time measured cues and via building up additional object categories consisting

Research paper thumbnail of Monocular vision obstacles detection for autonomous navigation

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Autonomous robot navigation has many applications such as space exploration and autonomous vehicl... more Autonomous robot navigation has many applications such as space exploration and autonomous vehicles. Currently, such navigation is ensured by the use of multiple sensors which may hinder quick commercialization. In this article, we propose a solution for navigating a robot in an unknown environment using only monocular vision algorithms.

Research paper thumbnail of Interactive Common Illumination for Computer Augmented Reality

Eurographics, 1997

The advent of computer augmented reality (CAR), in which computer generated objects mix with real... more The advent of computer augmented reality (CAR), in which computer generated objects mix with real video images, has resulted in many interesting new application domains. Providing common illumination between the real and synthetic objects can be very beneficial, since the additional visual cues (shadows, interreflections etc.) are critical to seamless real-synthetic world integration. Building on recent advances in computer graphics and computer vision, we present a new framework to resolving this problem. We address three specific aspects of the common illumination problem for CAR: (a) simplification of camera calibration and modeling of the real scene; (b) efficient update of illumination for moving CG objects and (c) efficient rendering of the merged world. A first working system is presented for a limited sub-problem: a static real scene and camera with moving CG objects. Novel advances in computer vision are used for camera calibration and user-friendly modeling of the real scene, a recent interactive radiosity update algorithm is adapted to provide fast illumination update and finally textured polygons are used for display. This approach allows interactive update rates on mid-range graphics workstations. Our new framework will hopefully lead to CAR systems with interactive common illumination without restrictions on the movement of real or synthetic objects, lights and cameras.

Research paper thumbnail of Evaluation of a vision-based parking assistance system

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., 2005

Quantitative evaluation of our parking assistance system (PAS) is required by automotive industry... more Quantitative evaluation of our parking assistance system (PAS) is required by automotive industry. Main factors for the PAS quality are accuracy, density and robustness. Main technology for the PAS is a vision-based point-tracker. In this paper, the quantitative evaluation of the PAS is boiled down to the evaluation of those factors on the point-tracker. It is achieved using a reference

Research paper thumbnail of 3D vision system for vehicles

IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683), 2003

Throughout this decade, several works about automated driving systems have been dedicated to coll... more Throughout this decade, several works about automated driving systems have been dedicated to collision avoidance, and it has already been proved that image technology can be useful in this area. Effectively, image technology provides additional information to the driver of a vehicle to easily understand driving or parking situations. For example, a backing assistance system using a rear video camera

Research paper thumbnail of Movement Detection for Safer Backward Maneuvers

2006 IEEE Intelligent Vehicles Symposium, 2006

Backing-up accidents are responsible for about 120 deaths and more than 6000 injuries every year ... more Backing-up accidents are responsible for about 120 deaths and more than 6000 injuries every year in the US. IMRA-Europe has been working on a static obstacles detection system for a few years now. We propose to complement this with a system capable of detecting and localizing in real-time moving obstacles even when the vehicle is moving. This system is based

Research paper thumbnail of 3D parking assistant system

IEEE Intelligent Vehicles Symposium, 2004, 2004

We present the evolution of our prototype for a new generation of circumstance recognition system... more We present the evolution of our prototype for a new generation of circumstance recognition system. This prototype provides the driver a D representation of the scene surrounding his vehicle. We focus essentially on the improvement of quality and robustness of the set of 3D points reconstructed by tracking from acquisitions and on a process of obstacle modeling from this set of 3D points to achieve a good degree of realism.

Research paper thumbnail of Improving backing-up manoeuvre safety with vision-based movement detection

IET Intelligent Transport Systems, 2007

Research paper thumbnail of Totalcalib: a fast and reliable system for off-line calibration of images sequences

Computer Vision and Pattern Recognition, 1997