Matching stereoscopic segments: comparison between epipolar, bayesian, and neuronals approaches

Camille N'Zi; Humberto Loaiza; Jean Triboulet; Sylvie Lelandais; Christian Barat; Christophe Montagne

Matching stereoscopic segments: comparison between epipolar, bayesian, and neuronals approaches

Camille N'Zi Humberto Loaiza ¹ Jean Triboulet ² Sylvie Lelandais ³ Christian Barat ⁴ Christophe Montagne ³

1 School of Electrical and Electronic Engineering

2 EXPLORE - Robotique mobile pour l'exploration de l'environnement

LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier

3 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes

4 I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis

Document type :

Conference papers

Domain :

Computer Science [cs] / Robotics [cs.RO]

Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01636576
Contributor : Christian Barat <>
Submitted on : Thursday, November 16, 2017 - 4:50:36 PM
Last modification on : Wednesday, January 23, 2019 - 1:48:04 PM

Matching stereoscopic segments: comparison between epipolar, bayesian, and neuronals approaches

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Matching stereoscopic segments: comparison between epipolar, bayesian, and neuronals approaches

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