[1]郑毅,郑苹.增强现实光照方向估计方法评述与展望[J].智能系统学报,2012,7(05):389-397.
 ZHENG Yi,ZHENG Ping.Comments and perspectives on illumination direction estimation methods in augmented reality[J].CAAI Transactions on Intelligent Systems,2012,7(05):389-397.
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增强现实光照方向估计方法评述与展望(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第7卷
期数:
2012年05期
页码:
389-397
栏目:
出版日期:
2012-10-25

文章信息/Info

Title:
Comments and perspectives on illumination direction estimation methods in augmented reality
文章编号:
1673-4785(2012)05-0389-09
作者:
郑毅123郑苹4
1.南京航空航天大学 民航/飞行学院,江苏 南京 210016;
2.山东工商学院 信息与电子工程学院,山东 烟台 264005;
3.山东工商学院 智能信息处理山东省高校重点实验室,山东 烟台 264005;
4.华中科技大学 图像识别与人工智能研究所,湖北 武汉 430074
Author(s):
ZHENG Yi12 ZHENG Ping3
1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. School of Information and Electronic Engineering, Shandong Institute of Business and Technology, Yantai 264005, China;
3. Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
关键词:
增强现实光照一致性光照方向估计立体视觉人工智能
Keywords:
augmented reality illumination consistency illumination direction estimation stereo vision artificial intelligence
分类号:
TP391.41
文献标志码:
A
摘要:
光照一致性是增强现实中实现虚实融合的重要方面,实时地估计出户外场景中的光照方向,对实现户外场景光照一致性和增强真实感具有重要意义.针对光照方向估计问题,首先归纳了户外场景光照方向估计的特点,把现有的光照方向估计方法分为借助光测球等特殊标定物的估算方法、立体视觉法和人工智能法3类方法.然后总结了各类方法的基本原理和有代表性的研究工作,并且比较了各类方法的优缺点和适用范围.最后,根据实际应用中存在的问题和挑战,展望了户外增强现实系统光照方向估计的研究方向.
Abstract:
Illumination consistency plays an important role in merging virtual objects into real scenes for augmented reality. Realtime illumination direction estimation for outdoor scenes is important for both illumination consistency and high realism of augmented reality. Aiming at problems of illumination direction estimation, characteristics of illumination direction estimation for outdoor scenes are generalized, and the taxonomy of illumination direction estimation methods is presented. Existing illumination direction estimation methods consist of light probe sphere based method, stereo vision based method and artificial intelligence based method. Relevant fundamental principles and typical algorithms are concluded, and their advantages and disadvantages are compared in detail. Finally, according to existing problems and challenges in actual applications, future research trends of illumination direction estimation for outdoor augmented reality systems are foreseen.

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备注/Memo

备注/Memo:
收稿日期: 2012-04-20.
网络出版日期:2012-09-07.
基金项目:国家自然科学基金资助项目(60970105,61173173);山东省住房和城乡建设厅科技计划项目(2011YK060);山东省高等学校科研计划项目(J11LG12).
通信作者:郑毅.
E-mail: zhengyi@nuaa.edu.cn.
作者简介:
郑毅,男,1975年生,讲师,博士后,主要研究方向为增强现实、图像测量、三维重建和图像融合.主持或参与国家自然科学基金、总装备部技术改造项目、省住建厅和省教育厅项目多项,发表学术论文10余篇,其中被EI检索9篇. 
郑苹,女,1973年生,博士研究生,主要研究方向为模式识别与计算机视觉.参与国家自然科学基金和总装备部预研项目多项,发表学术论文10篇,其中被EI检索8篇、SCI检索1篇.
更新日期/Last Update: 2012-11-13