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Publications associées (46)

Multiple-View Scenes: Reconstruction and Virtual Views

Michel Bierlaire, Jean-Philippe Thiran, Javier Cruz Mota

The problem of generating a virtual view of a scene, i.e. a view from a point where there is not a physical camera to capture the scene, has received recently a lot of attention from the computer vision community. This is probably due to the increase of th ...

2008

Improved Third-Person Perspective: a solution reducing occlusion of the 3PP?

Daniel Thalmann, Patrick Salamin, Frédéric Vexo

Pre-existing researches [Salamin et al. 2006] showed that Third-Person Perspective (3PP) enhances user navigation in 3D virtual environments by reducing proprio-perception issues. Nevertheless, this approach has shown drawbacks related to occlusions and ad ...

2008

Compressive Sensing for Background Subtraction

Volkan Cevher

Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reconstructed from a small set of random projections, provided that the signal is sparse i ...

2008

Advances in top-down and bottom-up approaches to video-based camera tracking

David Marimon Sanjuan

Video-based camera tracking consists in trailing the three dimensional pose followed by a mobile camera using video as sole input. In order to estimate the pose of a camera with respect to a real scene, one or more three dimensional references are needed. ...

EPFL2007

Combination of video-based camera trackers using a dynamically adapted particle filter

Touradj Ebrahimi

This paper presents a video-based camera tracker that combines marker-based and feature point-based cues in a particle filter framework. The framework relies on their complementary performance. Marker-based trackers can robustly recover camera position and ...

2007

Particle filter-based camera tracker fusing marker- and feature point-based cues

Touradj Ebrahimi, Yousri Abdeljaoued

This paper presents a video-based camera tracker that combines marker-based and feature point-based cues in a particle filter framework. The framework relies on their complementary performances. Marker-based trackers can robustly recover camera position an ...

2007

Spatio-temporal human pose detection

Miodrag Dimitrijevic

This thesis proposes a Chamfer-based method for human body pose detection that combines silhouette matching, motion information, and statistical relevance estimates in an original way. We demonstrate that our method can not only detect people but also reco ...

EPFL2007

Accurate On-line Avatar Control with Collision Anticipation

Daniel Thalmann, Ronan Boulic, Manuel Peinado, Daniel Raunhardt, Damien Maupu

Interactive control of a virtual character through full body movement has a wide range of applications. However, there is a need for systems that accurately reproduce the motion of a performer while accounting for surrounding obstacles. We propose an appro ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2007

Robust Multi-View Change Detection

Pascal Fua, François Fleuret, Jérôme Berclaz, Alessandro Lanza

We present a multi-view change detection approach aimed at being robust with respect to common “disturbance factors” yielding image changes in realworld applications. Disturbance factors causing “slow” or “fast-and-global” image variations, such as light c ...

2007

Human body pose detection using Bayesian spatio-temporal templates

Pascal Fua, Vincent Lepetit, Miodrag Dimitrijevic

We present a template-based approach to detecting human silhouettes in a specific walking pose. Our templates consist of short sequences of 2D silhouettes obtained from motion capture data. This lets us incorporate motion information into them and helps di ...

Elsevier2006

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