AustralieFrV1, PascalFrancis, Corpus, bibRecord, 001346

Asynchronous frameless event-based optical flow

Identifieur interne : 001346 ( PascalFrancis/Corpus ); précédent : 001345; suivant : 001347

Asynchronous frameless event-based optical flow

Auteurs : Ryad Benosman ; Sio-Hoi Ieng ; Charles Clercq ; Chiara Bartolozzi ; Mandyam Srinivasan

Source :

Neural networks [ 0893-6080 ] ; 2012.

RBID : Pascal:12-0236951

Descripteurs français

Pascal (Inist)
- Système réactif, Flux optique, Vision ordinateur, Vision artificielle, Transmission asynchrone, Haute résolution, Rétine, Grande vitesse, Modèle dirigé par les données, Biomimétique.

English descriptors

KwdEn :
- Artificial vision, Asynchronous transmission, Biomimetics, Computer vision, Data driven modelling, High resolution, High speed, Optical flow, Reactive system, Retina.

Abstract

This paper introduces a process to compute optical flow using an asynchronous event-based retina at high speed and low computational load. A new generation of artificial vision sensors has now started to rely on biologically inspired designs for light acquisition. Biological retinas, and their artificial counterparts, are totally asynchronous and data driven and rely on a paradigm of light acquisition radically different from most of the currently used frame-grabber technologies. This paper introduces a framework for processing visual data using asynchronous event-based acquisition, providing a method for the evaluation of optical flow. The paper shows that current limitations of optical flow computation can be overcome by using event-based visual acquisition, where high data sparseness and high temporal resolution permit the computation of optical flow with micro-second accuracy and at very low computational cost.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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C03	`10`	`X`	`FRE`	`@0 Biomimétique @4 CD @5 96`
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Format Inist (serveur)

NO :	PASCAL 12-0236951 INIST
ET :	Asynchronous frameless event-based optical flow
AU :	BENOSMAN (Ryad); IENG (Sio-Hoi); CLERCQ (Charles); BARTOLOZZI (Chiara); SRINIVASAN (Mandyam)
AF :	Vision Institute, University Pierre and Marie Curie-UPMC/CNRS UMR7222/Paris/France (1 aut., 2 aut.); Italian Institute of Technology/Genova/Italie (3 aut., 4 aut.); University of Queensland at the Queensland Brain Institute/Australie (5 aut.)
DT :	Publication en série; Niveau analytique
SO :	Neural networks; ISSN 0893-6080; Royaume-Uni; Da. 2012; Vol. 27; Pp. 32-37; Bibl. 1/4 p.
LA :	Anglais
EA :	This paper introduces a process to compute optical flow using an asynchronous event-based retina at high speed and low computational load. A new generation of artificial vision sensors has now started to rely on biologically inspired designs for light acquisition. Biological retinas, and their artificial counterparts, are totally asynchronous and data driven and rely on a paradigm of light acquisition radically different from most of the currently used frame-grabber technologies. This paper introduces a framework for processing visual data using asynchronous event-based acquisition, providing a method for the evaluation of optical flow. The paper shows that current limitations of optical flow computation can be overcome by using event-based visual acquisition, where high data sparseness and high temporal resolution permit the computation of optical flow with micro-second accuracy and at very low computational cost.
CC :	001D02C03
FD :	Système réactif; Flux optique; Vision ordinateur; Vision artificielle; Transmission asynchrone; Haute résolution; Rétine; Grande vitesse; Modèle dirigé par les données; Biomimétique
ED :	Reactive system; Optical flow; Computer vision; Artificial vision; Asynchronous transmission; High resolution; Retina; High speed; Data driven modelling; Biomimetics
SD :	Sistema reactivo; Flujo óptico; Visión ordenador; Visión artificial; Transmisión asincrónica; Alta resolucion; Retina; Gran velocidad; Modelo basado en datos; Biomimética
LO :	INIST-21689.354000509226660030
ID :	12-0236951

Links to Exploration step

Pascal:12-0236951

Le document en format XML

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<SO>Neural networks; ISSN 0893-6080; Royaume-Uni; Da. 2012; Vol. 27; Pp. 32-37; Bibl. 1/4 p.</SO>
<LA>Anglais</LA>
<EA>This paper introduces a process to compute optical flow using an asynchronous event-based retina at high speed and low computational load. A new generation of artificial vision sensors has now started to rely on biologically inspired designs for light acquisition. Biological retinas, and their artificial counterparts, are totally asynchronous and data driven and rely on a paradigm of light acquisition radically different from most of the currently used frame-grabber technologies. This paper introduces a framework for processing visual data using asynchronous event-based acquisition, providing a method for the evaluation of optical flow. The paper shows that current limitations of optical flow computation can be overcome by using event-based visual acquisition, where high data sparseness and high temporal resolution permit the computation of optical flow with micro-second accuracy and at very low computational cost.</EA>
<CC>001D02C03</CC>
<FD>Système réactif; Flux optique; Vision ordinateur; Vision artificielle; Transmission asynchrone; Haute résolution; Rétine; Grande vitesse; Modèle dirigé par les données; Biomimétique</FD>
<ED>Reactive system; Optical flow; Computer vision; Artificial vision; Asynchronous transmission; High resolution; Retina; High speed; Data driven modelling; Biomimetics</ED>
<SD>Sistema reactivo; Flujo óptico; Visión ordenador; Visión artificial; Transmisión asincrónica; Alta resolucion; Retina; Gran velocidad; Modelo basado en datos; Biomimética</SD>
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<ID>12-0236951</ID>
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Asynchronous frameless event-based optical flow

Asynchronous frameless event-based optical flow

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