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ARTIV1

An Artificial Visual Cortex for Image Processing

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EC-Contrib. €

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Project "ARTIV1" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 149˙937 €
 EC max contribution 149˙937 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-PoC
 Funding Scheme ERC-POC
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2018-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 149˙937.00

Map

 Project objective

The ERC starting grant GECOMETHODS, on which this POC is based, tackled problems of diffusion equations via geometric control methods. One of the most striking achievements of the project has been the development of an algorithm of image reconstruction based mainly on non-isotropic diffusion. This algorithm is bio-mimetic in the sense that it replicates the way in which the primary visual cortex V1 of mammals processes the signals arriving from the eyes. It has performances that are at the state of the art in image processing. These results together with others obtained in the ERC project show that image processing algorithms based on the functional architecture of V1 can go very far. However, the exceptional performances of the primary visual cortex V1 rely not only on the particular algorithm used, but also on the fact that such algorithm “runs” on a dedicated hardware having the following features: 1. an exceptional level of parallelism; 2. connections that are well adapted to transmit information in a non-isotropic way as it is required by the algorithms of image reconstruction and recognition. The idea of this POC is to create a dedicated hardware (called ARTIV1) emulating the functional architecture of V1 and hence having on one hand a huge degree of parallelism and on the other hand connections among the CPUs that reflect the non-isotropic structure of the visual cortex V1. Such a hardware that we plan to build as an integrated circuit with an industrial partner will be a veritable artificial visual cortex. It will be fully programmable and it will be able to perform many biomimetic image processing tasks that we expect to be exceptionally performant. ARTIV1 will come to the marked accompanied by some dedicated software for image reconstruction and image recognition. However we expect that other applications will be developed by customers, as for instance softwares for optical flow estimation or for sound processing.

 Publications

year authors and title journal last update
List of publications.
2018 Ugo V. Boscain, Roman Chertovskih, Jean-Paul Gauthier, Dario Prandi, Alexey Remizov
Highly Corrupted Image Inpainting Through Hypoelliptic Diffusion
published pages: 1231-1245, ISSN: 0924-9907, DOI: 10.1007/s10851-018-0810-4
Journal of Mathematical Imaging and Vision 60/8 2019-05-28
2018 Ugo Boscain, Roman Chertovskih, Jean-Paul Gauthier, Dario Prandi, Alexey Remizov
Cortical-inspired image reconstruction via sub-Riemannian geometry and hypoelliptic diffusion
published pages: 37-53, ISSN: 2267-3059, DOI: 10.1051/proc/201864037
ESAIM: Proceedings and Surveys 64 2019-05-28
2019 A. Agrachev, U. Boscain D. Barilari
A compprehensive introduction to sub-Riemannian geometry
published pages: , ISSN: , DOI:
Cambridge Studies in Advanced Mathematics, 2019-05-28
2018 Andrei Agrachev, Ugo Boscain, Robert Neel, Luca Rizzi
Intrinsic random walks in Riemannian and sub-Riemannian geometry via volume sampling
published pages: 1075-1105, ISSN: 1292-8119, DOI: 10.1051/cocv/2017037
ESAIM: Control, Optimisation and Calculus of Variations 24/3 2019-05-28
2019 Ugo Boscain, Davide Barilari, Robert Neel
Heat kernel asymptotics on sub-Riemannian manifolds with symmetries and applications to the bi-Heisenberg group
published pages: , ISSN: 0240-2963, DOI:
Les Annales de la Faculté des Sciences de Toulouse in press 2019-05-28

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