Computer generated hologram from Multiview-plus-Depth data considering specular reflections

Antonin Gilles (1) , Patrick Gioia (2, 1) , Rémi Cozot (3, 1) , Luce Morin (4, 1)

1 Advanced Media Content
2 Orange Labs R&D [Rennes]
3 FRVSense - FRVSense
4 IETR - Institut d'Électronique et des Technologies du numéRique

A novel approach for hologram computation from Multiview-plus-Depth (MVD) data is studied in this paper. The proposed method consists of three steps. First, intensity views and depth maps pairs of the scene are taken from different perspective viewpoints. Then, the 3D scene geometry is reconstructed from the MVD data as a layered point-cloud. This 3D scene reconstruction step allows us to use only a few perspective projections of the scene without sacrificing any depth cue. Furthermore, in order to take into account specular reflections, each scene point is considered to emit light differently in all the directions. Finally, light scattered by the scene is numerically propagated towards the hologram plane in order to get the final CGH. Experimental results show that the proposed method is able to provide all the human depth cues and accurate shading of the scene without producing any visible artifact.

Mots clés: Three-dimensional imaging; Holography; Computer-Generated Hologram

Domaines: Optique / photonique; Synthèse d'image et réalité virtuelle [cs.GR]; Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]

Antonin Gilles, Patrick Gioia, Rémi Cozot, Luce Morin. Computer generated hologram from Multiview-plus-Depth data considering specular reflections. IEEE International Conference on Multimedia Expo Workshops (ICMEW 2016), Jul 2016, Seattle, WA, United States. pp.1-6, ⟨10.1109/ICMEW.2016.7574699⟩. ⟨hal-01415724⟩