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.
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 titel | RGB-D data fusion by colored photometric stereo |
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Originalsprog | Fransk |
Publikationsdato | 2016 |
Antal sider | 8 |
Status | Udgivet - 2016 |
Begivenhed | Rencontres Francophones d'Intelligence Artificielle 2016 - Université Blaise Pascal, Clermont-Ferrand, Frankrig Varighed: 27 jun. 2016 → 1 jul. 2016 http://rfia2016.iut-auvergne.com/ |
Konference
Konference | Rencontres Francophones d'Intelligence Artificielle 2016 |
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Lokation | Université Blaise Pascal |
Land/Område | Frankrig |
By | Clermont-Ferrand |
Periode | 27/06/2016 → 01/07/2016 |
Internetadresse |