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Pascal Fua

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Related publications (322)

Combining Geometric and Appearance Priors for Robust Homography Estimation

Pascal Fua, Vincent Lepetit, Mustafa Özuysal

The homography between pairs of images are typically computed from the correspondence of keypoints, which are established by using image descriptors. When these descriptors are not reliable, either because of repetitive patterns or large amounts of clutter ...

2010

Daisy: An Efficient Dense Descriptor Applied to Wide Baseline Stereo

Pascal Fua, Vincent Lepetit, Engin Tola

In this paper, we introduce a local image descriptor, DAISY, which is very efficient to compute densely. We also present an EM based algorithm to compute dense depth and occlusion maps from wide baseline image pairs using this descriptor. This yields much ...

Institute of Electrical and Electronics Engineers2010

Fast Keypoint Recognition using Random Ferns

Pascal Fua, Vincent Lepetit, Mustafa Özuysal, Michael Calonder

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 ...

2010

Simultaneous Pose, Correspondence and Non-Rigid Shape

Pascal Fua, Jonas Olof Martin Östlund

Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a single im- age given a set of 3D-to-2D correspondences between that image and another one for which the shape is known. However, existing approaches assume that ...

2010

BRIEF: Binary Robust Independent Elementary Features

Pascal Fua, Vincent Lepetit, Michael Calonder, Christoph Strecha

We propose to use binary strings as an efficient feature point descriptor, which we call BRIEF. We show that it is highly discriminative even when using relatively few bits and can be computed using simple intensity difference tests. Furthermore, the descr ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Delineating Trees in Noisy 2D Images and 3D Image Stacks

Pascal Fua, François Fleuret, Germán González Serrano, Engin Türetken

We present a novel 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, our method builds a set of candidate trees over many different subsets of point ...

2010

Making Action Recognition Robust to Occlusions and Viewpoint Changes

Pascal Fua, Mustafa Özuysal, Daniel Weinland

Most state-of-the-art approaches to action recognition rely on global representations either by concatenating local information in a long descriptor vector or by computing a single location independent histogram. This limits their performance in presence o ...

2010

Exploring Ambiguities for Monocular Non-Rigid Shape Estimation

Pascal Fua

Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricting the set of possible shapes to linear combinations of deformation modes and ...

2010

Reconstructing Geometrically Consistent Tree Structures from Noisy Images

Pascal Fua, Germán González Serrano, Engin Türetken

We present a novel approach to fully automated reconstruction of tree structures in noisy 2D images. Unlike in earlier approaches, we explicitly handle crossovers and bifurcation points, and impose geometric constraints while optimizing a global cost funct ...

2010

A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images

Pascal Fua, Vincent Lepetit, Kevin Smith, Radhakrishna Achanta, Aurélien Lucchi

While there has been substantial progress in segmenting natural im-ages, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform when confronted with the different challenges posed by electron microscope (EM) data. For e ...

Springer2010

Memories of the world of the mountains

Pascal Fua, Julien Pilet, Vincent Lepetit

This paper describes a particular book called Souvenirs du monde des montagnes, which draws its iconography from the history of a Swiss mountain family from 1910 to 1930. By simply dipping into the first few pages, the reader will be lost between real and ...

2009

Image Summaries using Database Saliency

Pascal Fua, Sabine Süsstrunk, Radhakrishna Achanta, Appu Shaji

It is useful to have a small set of representative images from a database of thousands of images to summarize its content. There are two key aspects of such image summaries: how to generate them and how to present them. We address both issues. We extend th ...

2009

EPnP: An Accurate 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 methods that are O( ...

Springer Verlag2009

Template-Free Monocular Reconstruction of Deformable Surfaces

Pascal Fua, Mathieu Salzmann, Engin Tola, Aydin Varol

It has recently been shown that deformable 3D surfaces could be recovered from single video streams. However, existing techniques either require a reference view in which the shape of the surface is known a priori, which often may not be available, or requ ...

2009

Observable Subspaces for 3D Human Motion Recovery

Pascal Fua, Mathieu Salzmann, Andrea Fossati

The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. The true range of motion can therefore be represented by latent variables that span a low-dimen ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Pose Estimation for Category Specific Multiview Object Localization

Pascal Fua, Vincent Lepetit, Mustafa Özuysal

We propose an approach to overcome the two main challenges of 3D multiview object detection and localization: The variation of object features due to changes in the viewpoint and the variation in the size and aspect ratio of the object. Our approach procee ...

IEEE2009

Compact Signatures for High-speed Interest Point Description and Matching

Pascal Fua, Vincent Lepetit, Michael Calonder

2009

Classification-based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation

Pascal Fua, Seyed Ali Shahrokni, François Fleuret

We introduce a classification-based approach to finding occluding texture boundaries. The classifier is composed of a set of weak lear ners which operate on image intensity discriminative features which are defined on small patches and fast to compute. A d ...

Institute of Electrical and Electronics Engineers2009

Capturing 3D Stretchable Surfaces from Single Images in Closed Form

Pascal Fua, Mathieu Salzmann, Vincent Lepetit

We present a closed-form solution to the problem of re- covering the 3D shape of a non-rigid potentially stretchable surface from 3D-to-2D correspondences. In other words, we can reconstruct a surface from a single image without a priori knowledge of its d ...

2009

Joint Pose Estimator and Feature Learning for Object Detection

David Hasler, Pascal Fua, François Fleuret, Karim Ali

A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, and instead learns a single classifier that has the inherent ability to deform ba ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

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