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Mattia Rossi

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Related publications (8)

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Graph-based regularization of inverse problems in imaging

Mattia Rossi

As of today, the extension of the human visual capabilities to machines remains both a cornerstone and an open challenge in the attempt to develop intelligent systems. On the one hand, the development of more and more sophisticated imaging devices, capable ...

EPFL2020

Joint Graph-based Depth Refinement and Normal Estimation

Pascal Frossard, Mireille El Gheche, Mattia Rossi

Depth estimation is an essential component in understanding the 3D geometry of a scene, with numerous applications in urban and indoor settings. These scenes are characterized by a prevalence of human made structures, which in most of the cases, are either ...

2020

DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction

Mattia Rossi

Deep Neural Networks (DNNs) have the potential to improve the quality of image-based 3D reconstructions. However, the use of DNNs in the context of 3D reconstruction from large and high-resolution image datasets is still an open challenge, due to memory an ...

IEEE2020

Geometry-Consistent Light Field Super-Resolution via Graph-Based Regularization

Pascal Frossard, Mattia Rossi

Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based rendering. However ...

2018

A Nonsmooth Graph-Based Approach to Light Field Super-Resolution

Pascal Frossard, Mireille El Gheche, Mattia Rossi

In this article we propose a new super-resolution algorithm tailored for light field cameras, which suffer by design from a limited spatial resolution. To do so, we cast the light field super-resolution problem into an optimization problem, where the parti ...

2018

Graph-Based Light Field Super-Resolution

Pascal Frossard, Mattia Rossi

Light field cameras can capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post capture refocus, to depth estimation and image-based rendering. How ...

2017

High-contrast self-imaging with ordered optical elements

Hans Peter Herzig, Ali Naqavi, Mattia Rossi

Creating arbitrary light patterns has applications in various domains, including lithography, beam shaping, metrology, sensing, and imaging. We study the formation of high-contrast light patterns obtained by transmission through an ordered optical element ...

Optical Soc Amer2016

Luminance driven sparse representation based demosaicking

Mattia Rossi

Typical consumer cameras sense at each pixel only one out of the three color components the representation of a color image requires. Then the missing components are estimated via a procedure referred to as demosaicking. The recent spread of sparse regular ...

2014