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Vincent Lepetit

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Related publications (77)

3D pose refinement from reflections

Pascal Fua, Pascal Lagger, Mathieu Salzmann, Vincent Lepetit

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

General Constraints for Batch Multiple-Target Tracking Applied to Large-Scale Videomicroscopy

Vincent Lepetit, Kevin Smith

While there is a large class of Multiple-Target Tracking (MTT) problems for which batch processing is possible and desirable, batch MTT remains relatively unexplored in comparison to sequential approaches. In this paper, we give a principled probabilistic ...

IEEE2008

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

A fast local descriptor for dense matching

Pascal Fua, Vincent Lepetit, Engin Tola

We introduce a novel local image descriptor designed for dense wide-baseline matching purposes. We feed our descriptors to a graph-cuts based dense depth map estimation algorithm and this yields better wide-baseline performance than the commonly used corre ...

2008

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 ...

2008

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 ...

IEEE2007

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

Pascal Fua, Miodrag Dimitrijevic, Vincent Lepetit, Andrea Fossati

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

Accurate Non-Iterative O(n) Solution to the PnP Problem

Pascal Fua, Vincent Lepetit

We propose a non-iterative solution to the PnP problem---the estimation of the pose of a calibrated camera from n 3D-to-2D point correspondences---whose computational complexity grows linearly with n. This is in contrast to state-of-the-art method that are ...

2007

Retexturing in the Presence of Complex Illumination and Occlusions

Pascal Fua, Julien Pilet, Vincent Lepetit

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

Keypoint Recognition using Randomized Trees

Pascal Fua, Vincent Lepetit

In many 3--D object-detection and pose-estimation problems, run-time performance is of critical importance. However, there usually is time to train the system, which we will show to be very useful. Assuming that several registered images of the target obje ...

2006

An all-in-one solution to geometric and photometric calibration

Pascal Fua, Pascal Lagger, Julien Pilet, Vincent Lepetit, Andreas Geiger

We propose a fully automated approach to calibrating multiple cameras whose fields of view may not all overlap. Our technique only requires waving an arbitrary textured planar pattern in front of the cameras, which is the only manual intervention that is r ...

2006

Human body pose detection using Bayesian spatio-temporal templates

Pascal Fua, Miodrag Dimitrijevic, Vincent Lepetit

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

Feature Harvesting for Tracking-by-Detection

Pascal Fua, François Fleuret, Vincent Lepetit, Mustafa Özuysal

We propose a fast approach to 3D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the camera. No additional information is provided to the system, save a very roug ...

Springer2006

An Investigation of Model Bias in 3D Face Tracking

Pascal Fua, Vincent Lepetit

2005

Augmenting Deformable Objects in Real-Time

Pascal Fua, Julien Pilet, Vincent Lepetit

We present a real-time system that can draw virtual patterns or images on deforming real objects by estimating both the deformations and the shading parameters. We show that this is what is required to render the virtual elements so that they blend convinc ...

2005

Human Body Pose Recognition Using Spatio-Temporal Templates

Pascal Fua, Miodrag Dimitrijevic, Vincent Lepetit

2005

Real-Time Non-Rigid Surface Detection

Pascal Fua, Julien Pilet, Vincent Lepetit

We present a real-time method for detecting deformable surfaces, with no need whatsoever for a priori pose knowledge. Our method starts from a set of wide baseline point matches between an undeformed image of the object and the image in which it is to be d ...

2005

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