Robust global and local color matching in stereoscopic omnidirectional content
作者:
Highlights:
•
摘要
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.
论文关键词:Virtual reality,360-video,Color matching,Binocular rivalry,Omnidirectional images,Stereoscopic 3D
论文评审过程:Received 3 September 2018, Revised 2 January 2019, Accepted 27 February 2019, Available online 5 March 2019, Version of Record 13 March 2019.
论文官网地址:https://doi.org/10.1016/j.image.2019.02.013