@inproceedings{c93736b3bd9a4cd999c1a40206b39903,
title = "Study on comfort prediction of stereoscopic images based on improved saliency detection",
abstract = "This paper proposed a saliency-dependent measure to predict visual comfort of stereoscopic. Considering the drawbacks of traditional stereoscopic display visual comfort assessment, a more accurate visual comfort prediction method based on improved stereoscopic saliency detection algorithm was proposed in this paper. The proposed approach includes 3 steps. The first step involves the calculation of region contrast, background prior, surface orientation prior and depth prior which aims to generate a stereoscopic saliency map. The second step is the extraction of visual comfort perception features. Finally, the prediction performance is evaluated by using SVR. The experimental results demonstrate that our method improves the prediction accuracy a lot compared with the related work.",
keywords = "Assessment system, Saliency detection, Stereoscopic display, Visual comfort",
author = "Minghan Du and Guangyu Nie and Yue Liu and Yongtian Wang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd., 2018.; 13th Conference on Image and Graphics Technologies and Applications, IGTA 2018 ; Conference date: 08-04-2018 Through 10-04-2018",
year = "2018",
doi = "10.1007/978-981-13-1702-6_45",
language = "English",
isbn = "9789811317019",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "451--460",
editor = "Yongtian Wang and Yuxin Peng and Zhiguo Jiang",
booktitle = "Image and Graphics Technologies and Applications - 13th Conference on Image and Graphics Technologies and Applications, IGTA 2018, Revised Selected Papers",
address = "Germany",
}