Publications by Pascal Fua | EPFL Graph Search

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Making Background Subtraction Robust to Sudden Illumination Changes

Pascal Fua, Christoph Strecha, Julien Pilet

Modern background subtraction techniques can handle gradual illumination changes but can easily be confused by rapid ones. We propose a technique that overcomes this limitation by relying on a statistical model, not of the pixel intensities, but of the ill ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2008

Closed-Form Solution to Non-rigid 3D Surface Registration

Pascal Fua, Mathieu Salzmann, Vincent Lepetit

We present a closed-form solution to the problem of recovering the 3D shape of a non-rigid inelastic surface from 3D-to-2D correspondences. This lets us detect and reconstruct such a, surface by matching individual images against a reference configuration, ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2008

Keypoint Signatures for Fast Learning and Recognition

Pascal Fua, Vincent Lepetit, Michael Calonder

Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the training itself is usually relatively slow and performed offline. Although methods hav ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2008

3D pose refinement from reflections

Pascal Fua, Mathieu Salzmann, Vincent Lepetit, Pascal Lagger

We demonstrate how to exploit reflections for accurate registration of shiny objects: The lighting environment can be retrieved from the reflections under a distant illumination assumption. Since it remains unchanged when the camera or the object of intere ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Local deformation models for monocular 3D shape recovery

Pascal Fua, Mathieu Salzmann, Raquel Urtasun

Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of the feasible deformations is required to overcome the ambiguities. This is furt ...

2008

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

Pascal Fua, Vincent Lepetit, Andrea Fossati, Miodrag Dimitrijevic

We combine detection and tracking techniques to achieve robust 3-D motion recovery of people seen from arbitrary viewpoints by a single and potentially moving camera. We rely on detecting key postures, which can be done reliably, using a motion model to in ...

2007

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

Fast Keypoint Recognition in Ten Lines of Code

Pascal Fua, Vincent Lepetit, Mustafa Özuysal

While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. In this paper, we show that formulating the problem in ...

IEEE Xplore2007

Retexturing in the Presence of Complex Illumination and Occlusions

Pascal Fua, Vincent Lepetit, Julien Pilet

We present a non-rigid registration technique that achieves spatial, photometric, and visibility accuracy. It lets us photo-realistically augment 3D deformable surfaces under complex illumination conditions and in spite of severe occlusions. There are many ...

2007

Pascal Fua

Graph Chatbot

Chat with Graph Search

Making Background Subtraction Robust to Sudden Illumination Changes

Closed-Form Solution to Non-rigid 3D Surface Registration

Pose Priors for Simultaneously Solving Alignment and Correspondence

Keypoint Signatures for Fast Learning and Recognition

3D pose refinement from reflections

Local deformation models for monocular 3D shape recovery

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

Robust Multi-View Change Detection

Fast Keypoint Recognition in Ten Lines of Code

Retexturing in the Presence of Complex Illumination and Occlusions

Making Background Subtraction Robust to Sudden Illumination Changes

Pose Priors for Simultaneously Solving Alignment and Correspondence

Local deformation models for monocular 3D shape recovery

Keypoint Signatures for Fast Learning and Recognition

Robust Multi-View Change Detection

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

Fast Keypoint Recognition in Ten Lines of Code

Retexturing in the Presence of Complex Illumination and Occlusions

Closed-Form Solution to Non-rigid 3D Surface Registration

3D pose refinement from reflections