Publications de Ivana Tosic | EPFL Graph Search

Bulged Eardrum Detection From 3D Data

Pascal Frossard, Ivana Tosic, Sofia Karygianni

Bulging is a medical characteristic of the eardrum that is crucial for the diagnosis of acute otitis media. This work proposes a novel classification method for distinguishing bulged eardrums from non-bulged ones. The method uses novel key features extract ...

IEEE2018

Automated Eardrum Registration From Light-Field Data

Pascal Frossard, Ivana Tosic, Sofia Karygianni

The performance of automated classification algorithms for medical images needs to be very high and especially robust in order to be adopted into healthcare. Most of the time the main challenge is unregistered data, since it is usually captured: 1) from di ...

IEEE2018

Sparse stereo image coding with learned dictionaries

Pascal Frossard, Ivana Tosic, Dimitri Palaz

This paper proposes a framework for stereo image coding with effective representation of geometry in 3D scenes. We propose a joint sparse approximation framework for pairs of perspective images that are represented as linear expansions of atoms selected fr ...

2011

Dictionary learning in stereo imaging

Pascal Frossard, Ivana Tosic

This paper presents a new method for learning overcomplete dictionaries adapted to efficient joint representation of stereo images. We first formulate a sparse stereo image model where the multi-view correlation is described by local geometric transforms o ...

Institute of Electrical and Electronics Engineers2011

Dictionary learning: What is the right representation for my signal?

Pascal Frossard, Ivana Tosic

Institute of Electrical and Electronics Engineers2011

Ultrasound Tomography with Learned Dictionaries

Pascal Frossard, Martin Vetterli, Ivana Jovanovic, Ivana Tosic

We propose a new method for imaging sound speed in breast tissue from measurements obtained by ultrasound tomography (UST) scan- ners. Given the measurements, our algorithm finds a sparse image representation in an overcomplete dictionary that is adapted t ...

2010

3D Face Recognition with Sparse Spherical Representations

Pascal Frossard, Ivana Tosic, Effrosyni Kokiopoulou, Roser Sala Llonch

This paper addresses the problem of 3D face recognition using simultaneous sparse approximations on the sphere. The 3D face point clouds are first aligned with a novel and fully automated registration process. They are then represented as signals on the 2D ...

2010

MVMP: Multi-View Matching Pursuit with geometry constraints

Pascal Frossard, Ivana Tosic

2010

On unifying sparsity and geometry for image-based 3D scene representation

Ivana Tosic

Demand has emerged for next generation visual technologies that go beyond conventional 2D imaging. Such technologies should capture and communicate all perceptually relevant three-dimensional information about an environment to a distant observer, providin ...

EPFL2009

Nonparametric Least Squares Regression for Image Reconstruction on the Sphere

Pascal Frossard, Ivana Tosic, Tamara Tosic

This paper addresses the problem of interpolating signals defined on a 2-d sphere from non-uniform samples. We present an interpolation method based on locally weighted linear and nonlinear regression, which takes into account the differences in importance ...

2009

Low bit-rate compression of omnidirectional images

Pascal Frossard, Ivana Tosic

Omnidirectional images represent a special type of images that are captured by vision sensors with a 360-degree field of view. This work targets the compression of such images by taking into account their particular geometry. We first map omnidirectional i ...

2009

Learning of Stereo Visual Dictionaries

Pascal Frossard, Ivana Tosic

2009

Conditions for recovery of sparse signals correlated by local transforms

Pascal Frossard, Ivana Tosic

This paper addresses the problem of correct recovery of multiple sparse correlated signals using distributed thresholding. We consider the scenario where multiple sensors capture the same event, but observe different signals that are correlated by local tr ...

2009

Distributed multi-view image coding with learned dictionaries

Pascal Frossard, Ivana Tosic

This paper addresses the problem of distributed image coding in camera neworks. The correlation between multiple images of a scene captured from different viewpoints can be effiiciently modeled by local geometric transforms of prominent images features. Su ...

2009

Symmetric Distributed Coding of Stereo Omnidirectional Images

Pascal Frossard, Ivana Tosic, Vijayaraghavan Thirumalai

This paper presents a distributed coding scheme for the representation of 3D scenes captured by omnidirectional cameras. We consider a scenario with a pair of similar cameras that benefit from equivalent bandwidth and computational resources. The images ar ...

2008

3D Face Recognition using Sparse Spherical Representations

Pascal Frossard, Ivana Tosic, Effrosyni Kokiopoulou, Roser Sala Llonch

This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3D face point clouds. These point clouds are then represented as signals on th ...

2008

Geometry-based distributed coding of multi-view omnidirectional images

Pascal Frossard, Ivana Tosic

This paper presents a distributed and occlusion-robust coding scheme for multi-view omnidirectional images, which relies on the geometry of the 3D scene. The Wyner-Ziv coder uses a multi-view correlation model that relates 3D features in different images u ...

2008

Geometry-Based Distributed Scene Representation With Omnidirectional Vision Sensors

Pascal Frossard, Ivana Tosic

This paper addresses the problem of efficient representation of scenes captured by distributed omnidirectional vision sensors. We propose a novel geometric model to describe the correlation between different views of a 3-D scene. We first approximate the c ...

2008

Balanced Distributed Coding of Omnidirectional Images

Pascal Frossard, Ivana Tosic, Vijayaraghavan Thirumalai

This paper presents a distributed coding scheme for the representation of 3D scenes captured by a network of omnidirectional cameras. We consider a scenario where images captured at different viewpoints are encoded independently, with a balanced rate distr ...

2008

Coarse scene geometry estimation from sparse approximations of multi-view omnidirectional images

Pascal Frossard, Ivana Tosic

This paper presents a framework for coarse scene geometry estimation, based on sparse representations of omnidirectional images with geometrical basis functions. We introduce a correlation model that relates sparse components in different views with local ...

2007