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Pascal Fua

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Related publications (322)

Surface Deformation Models for Non-Rigid 3--D Shape Recovery

Pascal Fua, Mathieu Salzmann, Julien Pilet, Slobodan Ilic

3--D detection and shape recovery of a non-rigid surface from video sequences require deformation models to effectively take advantage of potentially noisy image data. Here we introduce an approach to creating such models for deformable 3--D surfaces. We e ...

2007

Robust Multi-View Change Detection

Pascal Fua, Jérôme Berclaz, François Fleuret, 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 ...

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

Implicit Meshes for Effective Silhouette Handling

Pascal Fua, Mathieu Salzmann, Slobodan Ilic

Using silhouettes in uncontrolled environments typically requires handling occlusions as well as changing or cluttered backgrounds, which limits the applicability of most silhouette based methods. For the purpose of 3--D shape modeling, we show that repres ...

Springer Verlag2007

Robust People Tracking with Global Trajectory Optimization

Pascal Fua, Jérôme Berclaz, François Fleuret

Given three or four synchronized videos taken at eye level and from different angles, we show that we can effectively use dynamic programming to accurately follow up to six individuals across thousands of frames in spite of significant occlusions. In addit ...

2006

Implicit Meshes for Surface Reconstruction

Pascal Fua, Slobodan Ilic

Deformable 3--D models are used extensively in Computer Graphics and Computer Vision for Visualization, Animation and Modeling. They can be represented either as traditional explicit surfaces, such as triangulated meshes, or as implicit surfaces. Explicit ...

2006

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

Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors

Kamiar Aminian, Emilio Casanova, Pascal Fua, Hooman Dejnabadi

A new method of estimating lower limbs orientations using a combination of accelerometers and gyroscopes is presented. The model is based on estimating the accelerations of ankle and knee joints by placing virtual sensors at the centers of rotation. The pr ...

Institute of Electrical and Electronics Engineers2006

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

3D people tracking with Gaussian process dynamical models

Pascal Fua, Raquel Urtasun

2006

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

Pascal Fua, Lorna Herda, Raquel Urtasun

Elsevier2005

Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking

Pascal Fua, Mathieu Salzmann, Slobodan Ilic

2005

Implicit Surfaces Make for Better Silhouettes

Pascal Fua, Mathieu Salzmann, Slobodan Ilic

2005

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

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