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Vincent Lepetit

Cette personne a quitté l’EPFL

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Publications associées (76)

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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

On Rendering Synthetic Images for Training an Object Detector

Pascal Fua, Vincent Lepetit, Artem Rozantsev

We propose a novel approach to synthesizing images that are effective for training object detectors. Starting from a small set of real images, our algorithm estimates the rendering parameters required to synthesize similar images given a coarse 3D model of ...

Elsevier2015

BRIEF: Computing a Local Binary Descriptor Very Fast

Pascal Fua, Vincent Lepetit, Christoph Strecha, Michael Calonder, Tomasz Piotr Trzcinski, Mustafa Özuysal

Binary descriptors are becoming increasingly popular as a means to compare feature points very fast and while requiring comparatively small amounts of memory. The typical approach to creating them is to first compute floating-point ones, using an algorithm ...

Institute of Electrical and Electronics Engineers2012

An Investigation of Model Bias in 3D Face Tracking

Pascal Fua, Vincent Lepetit

2005

Learning to Find Good Correspondences

Pascal Fua, Mathieu Salzmann, Vincent Lepetit, Kwang Moo Yi, Eduard Trulls Fortuny

We develop a deep architecture to learn to find good correspondences for wide-baseline stereo. Given a set of putative sparse matches and the camera intrinsics, we train our network in an end-to-end fashion to label the correspondences as inliers or outlie ...

IEEE2018

Learning Separable Filters

Pascal Fua, Vincent Lepetit, Roberto Rigamonti, Amos Sironi

2013

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

Pascal Fua, Vincent Lepetit

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

Pareto-optimal Dictionaries for Signatures

Pascal Fua, Vincent Lepetit, Michael Calonder

2010

Compact Signatures for High-speed Interest Point Description and Matching

Pascal Fua, Vincent Lepetit, Michael Calonder

2009

Real-time landing place assessment in man-made environments

Pascal Fua, Vincent Lepetit, Christos Marios Christoudias, Xiaolu Sun

We propose a novel approach to the real-time landing site detection and assessment in unconstrained man-made environments using passive sensors. Because this task must be performed in a few seconds or less, existing methods are often limited to simple loca ...

Springer Verlag2014

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

Memories of the world of the mountains

Pascal Fua, Vincent Lepetit, Julien Pilet

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

Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence

Pascal Fua, Vincent Lepetit, Artem Rozantsev, Bugra Tekin

A method for predicting three-dimensional body poses from image sequences of an object, the method performed on a processor of a computer having memory, the method including the steps of accessing the image sequences from the memory, finding bounding boxes ...

2017

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

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

LIFT: Learned Invariant Feature Transform

Pascal Fua, Vincent Lepetit, Kwang Moo Yi, Eduard Trulls Fortuny

We introduce a novel Deep Network architecture that implements the full feature point handling pipeline, that is, detection, orientation estimation, and feature description. While previous works have successfully tackled each one of these problems individu ...

Springer Int Publishing Ag2016

Human Body Pose Recognition Using Spatio-Temporal Templates

Pascal Fua, Vincent Lepetit

2005