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Pascal Fua

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Publications associées (322)

Multi-Commodity Network Flow for Tracking Multiple People

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 multi-commodity network flow problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effe ...

Institute of Electrical and Electronics Engineers2014

Multiscale Centerline Detection by Learning a Scale-Space Distance Transform

Pascal Fua, Vincent Lepetit, Amos Sironi

We propose a robust and accurate method to extract the centerlines and scale of tubular structures in 2D images and 3D volumes. Existing techniques rely either on filters designed to respond to ideal cylindrical structures, which lose accuracy when the lin ...

2014

Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery

Pascal Fua, Raphael Sznitman, Carlos Joaquin Becker

Automatic visual detection of instruments in minimally invasive surgery (MIS) can significantly augment the procedure experience for operating clinicians. In this paper, we present a novel technique for detecting surgical instruments by constructing a robu ...

Springer2014

Reconstructing Evolving Tree Structures in Time Lapse Sequences

Pascal Fua, Jan Kybic, Raphael Sznitman, Engin Türetken, Przemyslaw Rafal Glowacki, Miguel Amável Dos Santos Pinheiro, Daniel Lebrecht

We propose an approach to reconstructing tree structures that evolve over time in 2D images and 3D image stacks such as neuronal axons or plant branches. Instead of reconstructing structures in each image independently, we do so for all images simultaneous ...

2014

[DEMO] Tracking Texture-less, Shiny Objects with Descriptor Fields

Pascal Fua, Vincent Lepetit, Alberto Crivellaro, Yannick Verdie, Kwang Moo Yi

Our demo demonstrates the method we published at CVPR this year for tracking specular and poorly textured objects, and lets the visitors experiment with it and with their own patterns. Our approach only requires a standard monocular camera (no need for a d ...

2014

Correlative In Vivo 2-Photon Beam Scanning Electron Microscopy: 3D Analysis of Neuronal Ultrastructure

Pascal Fua, Graham Knott, Bohumil Maco, Anne Alison Jorstad

This protocol describes how dendrites and axons, imaged in vivo, can subsequently be analyzed in 3D using focused ion beam scanning electron microscopy (FIBSEM). The fluorescent structures are identified after chemical fixation and their position highlight ...

Elsevier Academic Press Inc2014

Efficient scanning for em based target localization

Pascal Fua, Graham Knott, Raphael Sznitman, Aurélien Lucchi

We presented an approach for speeding-up image acquisition when tasked with localizing specific structures in FIB-SEM imagery. It exploits the fact that low-quality images can be acquired faster than higher-quality ones and yet be sufficient for inference ...

2014

Refining Mitochondria Segmentation in Electron Microscopy Imagery with Active Surfaces

Pascal Fua, Anne Alison Jorstad

We present an active surface-based method for refining the boundary surfaces of mitochondria segmentation data. We exploit the fact that mitochondria have thick dark membranes, so referencing the image data at the inner membrane can help drive a more accur ...

Springer2014

Reconstructing Loopy Curvilinear Structures Using Integer Programming

Pascal Fua, Engin Türetken, Fethallah Benmansour

We propose a novel approach to automated delineation of linear structures that form complex and potentially loopy networks. This is in contrast to earlier approaches that usually assume a tree topology for the networks. At the heart of our method is an Int ...

Ieee2013

Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery using Multi-Directional Oriented Flux

Pascal Fua, Engin Türetken, Fethallah Benmansour, Przemyslaw Rafal Glowacki, Carlos Joaquin Becker

2013

Method and apparatus for multiple object tracking with k-shortest paths

Pascal Fua, Jérôme Berclaz, François Fleuret

Trajectories of objects are estimated by determining the optimal solution(s) of a tracking model on the basis of an occupancy probability distribution. The occupancy probability distribution is the probability of presence of objects over a set of discrete ...

2013

Tracking Multiple Players using a Single Camera

Pascal Fua, François Fleuret, Horesh Beny Ben Shitrit, Mirko Raca

It has been shown that multi-people tracking could be successfullly formulated as a Linear Program to process the output of multiple fixed and synchronized cameras with overlapping fields of view. In this paper, we extend this approach to the more challeng ...

Springer Verlag2013

Learning Separable Filters

Pascal Fua, Vincent Lepetit, Roberto Rigamonti, Amos Sironi

2013

Boosting Binary Keypoint Descriptors

Pascal Fua, Vincent Lepetit, Tomasz Piotr Trzcinski, Christos Marios Christoudias

Binary keypoint descriptors provide an efficient alternative to their floating-point competitors as they enable faster processing while requiring less memory. In this paper, we propose a novel framework to learn an extremely compact binary descriptor we ca ...

2013

An Optimal Policy for Target Localization with Application to Electron Microscopy

Pascal Fua, Raphael Sznitman, Aurélien Lucchi

This paper considers the task of finding a target location by making a limited number of sequential observations. Each observation results from evaluating an imperfect classifier of a chosen cost and accuracy on an interval of chosen length and position. W ...

2013

Non-Linear Domain Adaptation with Boosting

Pascal Fua, Christos Marios Christoudias, Carlos Joaquin Becker

A common assumption in machine vision is that the training and test samples are drawn from the same distribution. However, there are many problems when this assumption is grossly violated, as in bio-medical applications where different acquisitions can gen ...

2013

Tubular Geodesics using Oriented Flux: An ITK Implementation

Pascal Fua, Engin Türetken, Fethallah Benmansour

This document describes an ITK implementation of an interactive method for tracing curvilinear structures. The basic tools provided in this framework are an oriented flux-based tubularity measure and a geodesic path tracer that uses the fast marching algor ...

2013

Flash Scanning Electron Microscopy

Pascal Fua, Marco Cantoni, Graham Knott, Raphael Sznitman, Aurélien Lucchi

Scanning Electron Microscopy (SEM) is an invaluable tool for biologists and neuroscientists to study brain structure at the intra- cellular level. While able to image tissue samples with up to 5nm isotropic resolution, image acquisition is prohibitively sl ...

2013

Tracklet-based Multi-Commodity Network Flow for Tracking Multiple People

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

(EN)A method for continuously tracking multiple people partitioned into groups while preserving identities under global appearance constraints, wherein people's trajectories may intersect, and wherein only sparse appearance information is available is disc ...

WO2013

Learning Context Cues for Synapse Segmentation

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

We present a new approach for the automated segmentation of synapses in image stacks acquired by Electron Microscopy (EM) that relies on image features specifically designed to take spatial context into account. These features are used to train a classifie ...

Institute of Electrical and Electronics Engineers2013

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