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Pascal Fua

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Publications associées (322)

Worldwide Pose Estimation Using 3D Point Clouds

Pascal Fua, Yunpeng Li

We address the problem of determining where a photo was taken by estimating a full 6-DOF-plus-intrincs camera pose with respect to a large geo-registered 3D point cloud, bringing together research on image localization, landmark recognition, and 3D pose es ...

2012

Thick Boundaries in Binary Space and Their Influence on Nearest-Neighbor Search

Pascal Fua, Vincent Lepetit, Tomasz Piotr Trzcinski

Binary descriptors allow faster similarity computation than real-valued ones while requiring much less storage. As a result, many algorithms have recently been proposed to binarize ﬂoating-point descriptors so that they can be searched for quickly. Unfortu ...

Elsevier2012

Laplacian Meshes for Monocular 3D Shape Recovery

Pascal Fua, Aydin Varol, Jonas Olof Martin Östlund, Tien Dat Ngo

We show that by extending the Laplacian formalism, which was first introduced in the Graphics community to regularize 3D meshes, we can turn the monocular 3D shape reconstruction of a deformable surface given correspondences with a reference image into a w ...

2012

Efficient Large Scale Multi-View Stereo for Ultra High Resolution Image Sets

Pascal Fua, Engin Tola, Christoph Strecha

We present a new approach for large scale multi-view stereo matching, which is designed to operate on ultra high resolution image sets and efficiently compute dense 3D point clouds. We show that, by using a robust descriptor for matching purposes and high ...

Springer Verlag2012

Learning Context Cues for Synapse Segmentation in EM Volumes

Pascal Fua, Graham Knott, Karim Ali, Carlos Joaquin Becker

We present a new approach for the automated segmentation of excitatory synapses in image stacks acquired by electron microscopy. We rely on a large set of image features specifically designed to take spatial context into account and train a classifier that ...

2012

Tracking Multiple People under Global Appearance Constraints

Pascal Fua, Jérôme Berclaz, François Fleuret, Horesh Beny Ben Shitrit

In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effect ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

The Accuracy of Automatic Photogrammetric Techniques on Ultra-light UAV Imagery

Jean-Christophe Zufferey, François Gervaix, Dario Floreano, Pascal Fua, Antoine Beyeler, Olivier Küng, Christoph Strecha

This paper presents an affordable, fully automated and accurate mapping solutions based on ultra-light UAV imagery. Several datasets are analysed and their accuracy is estimated. We show that the accuracy highly depends on the ground resolution (flying hei ...

2011

Long Term Real Trajectory Reuse Through Region Goal Satisfaction

Ronan Boulic, Daniel Thalmann, Pascal Fua, Junghyun Ahn, Stéphane Gobron, Quentin Silvestre, Horesh Beny Ben Shitrit, Mirko Raca

This paper is motivated by the objective of improving the realism of real-time simulated crowds by reducing short term collision avoidance through long term anticipation of pedestrian trajectories. For this aim, we choose to reuse outdoor pedestrian trajec ...

Springer Berlin Heidelberg2011

Spatio-Chromatic Decorrelation by Shift-Invariant Filtering

Pascal Fua, Sabine Süsstrunk, Matthew Brown

In this paper we derive convolutional filters for colour image whitening and decorrelation. Whilst whitening can be achieved via eigendecomposition of the image patch covariance, this operation is neither efficient nor biologically plausible. Given the shi ...

2011

Turning Augmented Reality into a media: Design exploration to build a dedicated visual language

Pascal Fua, Nicolas Henchoz, Vincent Lepetit

This work collects the explorations conducted within the EPFL+ECAL Lab by several designers to interpret the various spheres of action of Augmented Reality in order to derive visual principles. These principles seek to contribute to developing a specific v ...

IEEE2011

Multiple Object Tracking using K-Shortest Paths Optimization

Pascal Fua, Jérôme Berclaz, François Fleuret, Engin Türetken

Multi-object tracking can be achieved by detecting objects in individual frames and then linking detections across frames. Such an approach can be made very robust to the occasional detection failure: If an object is not detected in a frame but is in previ ...

Institute of Electrical and Electronics Engineers2011

Learning Real-Time Perspective Patch Rectification

Pascal Fua, Vincent Lepetit

We propose two learning-based methods to patch rectification that are faster and more reliable than state-of-the-art affine region detection methods. Given a reference view of a patch, they can quickly recognize it in new views and accurately estimate the ...

Springer Verlag2011

Linear Local Models for Monocular Reconstruction of Deformable Surfaces

Pascal Fua, Mathieu Salzmann

Recovering the 3D shape of a nonrigid surface from a single viewpoint is known to be both ambiguous and challenging. Resolving the ambiguities typically requires prior knowledge about the most likely deformations that the surface may undergo. It often take ...

2011

Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors

Pascal Fua, Germán González Serrano, Engin Türetken

We present a novel probabilistic approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local evidence, ours builds a set of candidate trees over many different subsets ...

Humana Press2011

Real-time vehicle tracking for driving assistance

Pascal Fua, Patrick Merryl Marlon Schönmann, Andrea Fossati

Detecting car taillights at night is a task which can nowadays be accomplished very fast on cheap hardware. We rely on such detections to build a vision-based system that, coupling them in a rule-based fashion, is able to detect and track vehicles. This al ...

2011

Simultaneous Point Matching and 3D Deformable Surface Reconstruction

Pascal Fua, Aydin Varol, Appu Shaji

It has been shown that the 3D shape of a deformable surface in an image can be recovered by establishing correspondences between that image and a reference one in which the shape is known. These matches can then be used to set-up a convex optimization prob ...

Ieee Computer Soc Press, Customer Service Center, Po Box 3014, 10662 Los Vaqueros Circle, Los Alamitos, Ca 90720-1264 Usa2010

Dynamic and Scalable Large Scale Image Reconstruction

Pascal Fua, Christoph Strecha

Recent approaches to reconstructing city-sized areas from large image collections usually process them all at once and only produce disconnected descriptions of image subsets, which typically correspond to major landmarks. In contrast, we propose a framewo ...

2010

Large occlusion completion using normal maps

Pascal Fua, Andrea Fossati, Engin Tola, Christoph Strecha

Dense disparity maps can be computed from wide-baseline stereo pairs but will inevitably contain large areas where the depth cannot be estimated accurately because the pixels are seen in one view only. A traditional approach to this problem is to introduce ...

2010

Pareto-optimal Dictionaries for Signatures

Pascal Fua, Vincent Lepetit, Michael Calonder

2010

From Canonical Poses to 3D Motion Capture Using a Single Camera

Pascal Fua, Miodrag Dimitrijevic, Vincent Lepetit, Andrea Fossati

We combine detection and tracking techniques to achieve robust 3D 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 inf ...

Institute of Electrical and Electronics Engineers2010

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