Publications associées à Pedestrian head detection using automatic scale selection for feature detection and statistical edge curvature analysis

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Receptive Fields Selection for Binary Feature Description

Pascal Fua, Zhiye Wang, Tomasz Piotr Trzcinski, Bin Fan

Feature description for local image patch is widely used in computer vision. While the conventional way to design local descriptor is based on expert experience and knowledge, learning based methods for designing local descriptor become more and more popul ...

Institute of Electrical and Electronics Engineers2014

Exploiting Scene Cues for Dropped Object Detection

Jean-Marc Odobez, Florent Monay Michaud

This paper presents a method for the automated detection of dropped objects in surveillance scenarios, which is a very important task for abandoned object detection. Our method works in single views and exploits prior information of the scene, such as geom ...

2014

Alternative search techniques for face detection using location estimation and binary features

Venkatesh Bala Subburaman

The sliding window approach is the most widely used technique to detect objects from an image. In the past few years, classifiers have been improved in many ways to increase the scanning speed. Apart from the classifier design (such as the cascade), the sc ...

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE2012

Scale Invariant Features and Polar Descriptors in Omnidirectional Imaging

Pascal Frossard, Zafer Arican

We propose a method to compute scale invariant features in omnidirectional images. We present a formulation based on Riemannian geometry for the definition of differential operators on non-Euclidian manifolds that describe the mirror and lens structure in ...

Institute of Electrical and Electronics Engineers2012

A Constrained Latent Variable Model

Pascal Fua, Mathieu Salzmann, Raquel Urtasun, Aydin Varol

Latent variable models provide valuable compact representations for learning and inference in many computer vision tasks. However, most existing models cannot directly encode prior knowledge about the specific problem at hand. In this paper, we introduce a ...

Ieee2012

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models

Joao Emanuel Felipe Gerhard

Statistical models of neural activity are integral to modern neuroscience. Recently interest has grown in modeling the spiking activity of populations of simultaneously recorded neurons to study the effects of correlations and functional connectivity on ne ...

Massachusetts Institute of Technology Press2011

Rotational Features Extraction for Ridge Detection

Michaël Unser, Pascal Fua, François Fleuret, François Aguet, Germán González Serrano, Fethallah Benmansour

State-of-the-art approaches to detecting ridge-like structures in images rely on filters designed to respond to locally linear intensity features. While these approaches may be optimal for ridges whose appearance is close to being ideal, their performance ...

Institute of Electrical and Electronics Engineers2011

Model-fitting in the presence of outliers

Jayakrishnan Unnikrishnan

We study the problem of parametric model-fitting in a finite alphabet setting. We characterize the weak convergence of the goodness-of-fit statistic with respect to an exponential family when the observations are drawn from some alternate distribution. We ...

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

Pedestrian head detection using automatic scale selection for feature detection and statistical edge curvature analysis

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Receptive Fields Selection for Binary Feature Description

Exploiting Scene Cues for Dropped Object Detection

Alternative Search Techniques for Face Detection Using Location Estimation and Binary Features

Alternative search techniques for face detection using location estimation and binary features

Scale Invariant Features and Polar Descriptors in Omnidirectional Imaging

A Constrained Latent Variable Model

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models

Rotational Features Extraction for Ridge Detection

Model-fitting in the presence of outliers

Optimally Localized Wavelets and Smoothing Kernels

Alternative search techniques for face detection using location estimation and binary features

Alternative Search Techniques for Face Detection Using Location Estimation and Binary Features

Rotational Features Extraction for Ridge Detection

Optimally Localized Wavelets and Smoothing Kernels

A Constrained Latent Variable Model

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models

Receptive Fields Selection for Binary Feature Description

Exploiting Scene Cues for Dropped Object Detection

Scale Invariant Features and Polar Descriptors in Omnidirectional Imaging

Model-fitting in the presence of outliers