Publication
Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera
Related publications (33)
Development of a systematic computer vision-based method to analyse and compare images of false identity documents for forensic intelligence purposes-Part I: Acquisition, calibration and validation issues
Luc Patiny, Michaël Giuseppe Zasso, Thibault Genessay, Marie Auberson, Simon Baechler
Following their detection and seizure by police and border guard authorities, false identity and travel documents are usually scanned, producing digital images. This research investigates the potential of these images to classify false identity documents, ...
Elsevier Ireland Ltd2016Distributionally Robust Logistic Regression
Daniel Kuhn, Soroosh Shafieezadeh Abadeh, Peyman Mohajerin Esfahani
This paper proposes a distributionally robust approach to logistic regression. We use the Wasserstein distance to construct a ball in the space of probability distributions centered at the uniform distribution on the training samples. If the radius of this ...
2015Pattern-oriented memory interpolation of sparse historical rainfall records
Anton Schleiss, José Pedro Gamito de Saldanha Calado Matos, Théodora Cohen Liechti
The pattern-oriented memory (POM) is a novel historical rainfall interpolation method that explicitly takes into account the time dimension in order to interpolate areal rainfall maps. The method is based on the idea that rainfall patterns exist and can be ...
Elsevier2014Saliency-based Representations and Multi-component Classifiers for Visual Scene Recognition
Visual scene recognition deals with the problem of automatically recognizing the high-level semantic concept describing a given image as a whole, such as the environment in which the scene is occurring (e.g. a mountain), or the event that is taking place ( ...
École Polytechnique Fédérale de Lausanne (EPFL)2014Saliency-based representations and multi-component classifiers for visual scene recognition
Visual scene recognition deals with the problem of automatically recognizing the high-level semantic concept describing a given image as a whole, such as the environment in which the scene is occurring (e.g. a mountain), or the event that is taking place ( ...
EPFL2014Robust image reconstruction from multi-view measurements
Pierre Vandergheynst, Gilles Puy
We propose a novel method to accurately reconstruct a set of images representing a single scene from few linear multi-view measurements. Each observed image is modeled as the sum of a background image and a foreground one. The background image is common to ...
2014Sparse Binary Features for Image Classification
In this work a new method for automatic image classification is proposed. It relies on a compact representation of images using sets of sparse binary features. This work first evaluates the Fast Retina Keypoint binary descriptor and proposes imp ...
2013Improved Local Binary Pattern Based Action Unit Detection Using Morphological and Bilateral Filters
Jean-Philippe Thiran, Matteo Sorci, Anil Yuce
Automatic facial action unit (AU) detection in videos is the key ingredient to all systems that utilize a subject face for either interaction or analysis purposes. With the ever growing range of possible applications, achieving a high accuracy in the simpl ...
2013Image reconstruction of non-planar scenes from compressed multi-view measurements
Pierre Vandergheynst, Gilles Puy
We extend the domain of application of a method developed recently for joint reconstruction of l images, representing the same scene, from few multi-view measurements. While this method was initially designed for planar scenes, we show here that parametric ...
2013Learning Pattern Transformation Manifolds for Classification
Manifold models provide low-dimensional representations that are useful for analyzing and classifying data in a transformation-invariant way. In this paper we study the problem of jointly building multiple pattern transformation manifolds from a collection ...
2012