Adapting stereoscopic movies to the viewing conditions using depth-preserving and artifact-free novel view synthesis - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Adapting stereoscopic movies to the viewing conditions using depth-preserving and artifact-free novel view synthesis

(1) , (1) , (1)
1

Abstract

The 3D shape perceived from viewing a stereoscopic movie depends on the viewing conditions, most notably on the screen size and distance, and depth and size distortions appear because of the differences between the shooting and viewing geometries. When the shooting geometry is constrained, or when the same stereoscopic movie must be displayed with different viewing geometries (e.g. in a movie theater and on a 3DTV), these depth distortions may be reduced by novel view synthesis techniques. They usually involve three steps: computing the stereo disparity, computing a disparity-dependent 2D mapping from the original stereo pair to the synthesized views, and finally composing the synthesized views. In this paper, we focus on the second and third step: we examine how to generate new views so that the perceived depth is similar to the original scene depth, and we propose a method to detect and reduce artifacts in the third and last step, these artifacts being created by errors contained in the disparity from the first step.
Fichier principal
Vignette du fichier
devernay-sda2011.pdf (1.77 Mo) Télécharger le fichier
Vignette du fichier
SDA2011-devernay.pdf (3.28 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Other

Dates and versions

inria-00565131 , version 1 (11-02-2011)
inria-00565131 , version 2 (11-02-2011)

Identifiers

Cite

Frédéric Devernay, Sylvain Duchêne, Adrian Ramos-Peon. Adapting stereoscopic movies to the viewing conditions using depth-preserving and artifact-free novel view synthesis. SD&A 2011 - Stereoscopic Displays and Applications XXII, Jan 2011, San Francisco, California, United States. pp.786302-786302:12, ⟨10.1117/12.872883⟩. ⟨inria-00565131v2⟩
288 View
355 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More