Fusion de données RVB-D par stéréophotométrie colorée

Bidragets oversatte titel: RGB-D data fusion by colored photometric stereo

Yvain Quéau, Bastien Durix, Tom Lucas, Jade Boumaza, Jean-Denis Durou, Francois Bernard Lauze

Abstract

We propose a new approach of photometric stereo with ani-
sotropic pointwise sources such as LEDs. This approach is
both differential and variational, in order to recover the
depth directly and in a robust manner, without estimating
the normals and the albedo in a first step. We then show
how to use this approach in order to refine the depth map
obtained with a RGB-D sensor, by integrating on the sensor
three colored LEDs allowing us to apply colored photome-
tric stereo on the RGB image.
Bidragets oversatte titelRGB-D data fusion by colored photometric stereo
OriginalsprogFransk
Publikationsdato2016
Antal sider8
StatusUdgivet - 2016
BegivenhedRencontres Francophones d'Intelligence Artificielle 2016 - Université Blaise Pascal, Clermont-Ferrand, Frankrig
Varighed: 27 jun. 20161 jul. 2016
http://rfia2016.iut-auvergne.com/

Konference

KonferenceRencontres Francophones d'Intelligence Artificielle 2016
LokationUniversité Blaise Pascal
Land/OmrådeFrankrig
ByClermont-Ferrand
Periode27/06/201601/07/2016
Internetadresse

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