收藏切换
Vision-based virtual reality and augmented reality fusion technology
收藏切换
PDF
Science & Technology Review | 2018, 36(9) : 25 - 31
Less
收藏切换
Science & Technology Review | 2018, 36(9): 25-31
• Spescial Issues •
Vision-based virtual reality and augmented reality fusion technology
Full
NING Ruixin, ZHU Zunjie, SHAO Biyao, GONG Bingjian, YAN Chenggang
Affiliations
    Laboratory of Intelligent Information Processing, College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Published: 2018-05-13 doi: 10.3981/j.issn.1000-7857.2018.09.003
Outline
收藏切换
Visual-based virtual reality and augmented reality have their own developments, but the fusion development trend of the two is unavoidable in the future. SLAM (simultaneous localization ad mapping) is a major component of the application of virtual reality and augmented reality, but there are still many challenging issues in terms of robustness. This paper proposes a vision-based virtual reality and augmented reality fusion technology, which can analyze and solve the problems such as device selection, tracking, motion interference, and plane recognition in the 3D scene reconstruction process. Finally, the challenging issues in SLAM are discussed.
virtual reality  /  augmented reality  /  SLAM  /  3D scene reconstruction
宁瑞忻, 朱尊杰, 邵碧尧, 龚冰剑, 颜成钢. 基于视觉的虚拟现实与增强现实融合技术. 科技导报, 2018 , 36 (9) : 25 -31 . DOI: 10.3981/j.issn.1000-7857.2018.09.003
NING Ruixin, ZHU Zunjie, SHAO Biyao, GONG Bingjian, YAN Chenggang. Vision-based virtual reality and augmented reality fusion technology[J]. Science & Technology Review, 2018 , 36 (9) : 25 -31 . DOI: 10.3981/j.issn.1000-7857.2018.09.003
Year 2018 volume 36 Issue 9
PDF
612
106
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2018.09.003
  • Receive Date:2018-04-14
  • Online Date:2018-05-19
  • Published:2018-05-13
Article Data
Affiliations
History
  • Received:2018-04-14
  • Revised:2018-04-27
Affiliations
References
Share
https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2018.09.003
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT