Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/63279
Título: Robust global and local color matching in stereoscopic omnidirectional content
Autores/as: Dudek, Roman
Croci, Simone
Smolic, Aljosa
Knorr, Sebastian
Clasificación UNESCO: 2209 Óptica
Palabras clave: Virtual reality
360-video
Color matching
Binocular rivalry
Omnidirectional images, et al.
Fecha de publicación: 2019
Publicación seriada: Signal Processing: Image Communication 
Resumen: Shooting a live-action immersive 360-degree experience, i.e. omnidirectional content (ODC) is a technological challenge as there are many technical limitations which need to be overcome, especially for capturing and post-processing in stereoscopic 3D (S3D). In this paper, we introduce a novel approach and entire system for stitching and color mismatch correction and detection in S3D omnidirectional content, which consists of three main modules: pre-processing, spherical color correction and color mismatch evaluation. The system and its individual modules are evaluated on two datasets, including a new dataset which will be publicly available with this paper. We show that our system outperforms the state of the art in color correction of S3D ODC and demonstrate that our spherical color correction module even further improves the results of the state of the art approaches.
URI: http://hdl.handle.net/10553/63279
ISSN: 0923-5965
DOI: 10.1016/j.image.2019.02.013
Fuente: Signal Processing-Image Communication[ISSN 0923-5965],v. 74, p. 231-241
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