Publications related to Resolution-Invariant Separable Arma Modeling Of Images

Object Detection with Active Sample Harvesting

The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...

EPFL2017

Object Detection with Active Sample Harvesting

Olivier Canévet

The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...

École Polytechnique Fédérale de Lausanne2017

Multifractal Analysis of Snowfall Recorded Using a 2D Video Disdrometer

Alexis Berne, Timothy Hugh Raupach

Universalmultifractal (UM) analysiswas used to investigate the scaling properties of snowfall at high temporal and spatial resolutions. Snowfall datawere recorded using a 2Dvideo disdrometer (2DVD) in the SwissAlps. Six 1-h-long periods of snowfall, half i ...

American Meteorological Society2017

Shapes from Pixels

Mitra Fatemi

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Adrien Georges Jean Besson, Olivier Bernard

The theory of compressed sensing (CS) leverages upon structure of signals in order to reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate. Although CS approaches have been proposed for ultrasound (US) imaging with prom ...

Ieee2016

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Assim Boukhayma

A CMOS image sensor including at least one pixel and one circuit arranged to receive, on a first node of the circuit, an analog signal representative of the luminosity level received by the pixel, the circuit being capable of successively acquiring 2n samp ...

2016

Going beyond 1000000 resolved points in a Brillouin distributed fiber sensor: theoretical analysis and experimental demonstration

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Andrey Denisov

Distributed fiber sensing possesses the unique ability to measure the distributed profile of an environmental quantity along many tens of kilometers with spatial resolutions in the meter or even centimeter scale. This feature enables distributed sensors to ...

Chinese Acad Sciences, Changchun Inst Optics Fine Mechanics And Physics2016

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 Ltd2016

Semi-Markov model for simulating MOOC students

Pierre Dillenbourg, Lukasz Kidzinski, Louis Pierre Faucon

Large-scale experiments are often expensive and time consuming. Although Massive Online Open Courses (MOOCs) provide a solid and consistent framework for learning analytics, MOOC practitioners are still reluctant to risk resources in experiments. In this s ...

2016

Resolution-Invariant Separable Arma Modeling Of Images

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Object Detection with Active Sample Harvesting

Object Detection with Active Sample Harvesting

Multifractal Analysis of Snowfall Recorded Using a 2D Video Disdrometer

Shapes from Pixels

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Going beyond 1000000 resolved points in a Brillouin distributed fiber sensor: theoretical analysis and experimental demonstration

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

Semi-Markov model for simulating MOOC students

Shapes from Pixels

Object Detection with Active Sample Harvesting

Object Detection with Active Sample Harvesting

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Going beyond 1000000 resolved points in a Brillouin distributed fiber sensor: theoretical analysis and experimental demonstration

Semi-Markov model for simulating MOOC students

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Multifractal Analysis of Snowfall Recorded Using a 2D Video Disdrometer

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