摘要
随着虚拟现实处理技术的发展,虚拟现实全景图像的显著性检测成为近年来学术界和工业界关注的研究热点.本文分析虚拟现实全景图像的特性,综述虚拟现实全景图像显著性检测算法的研究进展.将已有的虚拟现实全景图像显著性检测算法进行分类、分析以及对比,本文总结了当前虚拟现实全景图像显著性检测面临的挑战,并对其发展趋势进行展望.
With the development of virtual reality (VR),the saliency detection for panoramic VR image has been a hot research topic in both academic and industry worlds.After analyzing the particular characteristics of panoramic VR image,this paper summarizes the research progress of the saliency detection algorithms of panoramic VR image.Existing VR image saliency detection algorithms are firstly classified,analyzed and compared.Then,the current research challenges and future directions of VR saliency detection are discussed.
作者
丁颖
刘延伟
刘金霞
刘科栋
王利明
徐震
DING Ying;LIU Yan-wei;LIU Jin-xia;LIU Ke-dong;WANG Li-ming;XU Zhen(Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100864,China;School of Cyber Security,University of Chinese Academy of Sciences,Beijing 100049,China;Zhejiang Wanli University,Ningbo,Zhejiang 315100,China)
出处
《电子学报》
EI
CAS
CSCD
北大核心
2019年第7期1575-1583,共9页
Acta Electronica Sinica
基金
国家自然科学基金(No.61771469)
关键词
虚拟现实
VR全景图像
显著性检测
virtual reality
VR panoramic image
saliency detection
