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图学学报 ›› 2022, Vol. 43 ›› Issue (6): 1049-1056.DOI: 10.11996/JG.j.2095-302X.2022061049

• 综述 • 上一篇    下一篇

几何引导的主动式三维感知与交互

  

  1. 1. 国防科技大学计算机学院,湖南 长沙 410073;  2. 深圳大学计算机与软件学院,广东 深圳 518060;  3. 大连理工大学电信学部,辽宁 大连 116000
  • 出版日期:2022-12-30 发布日期:2023-01-11
  • 基金资助:
    国家自然科学基金项目(62132021,61972067);科技创新2030项目(2022ZD0210500)

Geometry-guided active 3D perception and interaction

  1. 1. School of Computer Science, National University of Defense Technology, Changsha Hunan 410073, China; 

    2. School of Computer and Software, Shenzhen University, Shenzhen Guangdong 518060 China; 

    3. Department of Telecommunications, Dalian University of Technology, Dalian Liaoning 116000, China

  • Online:2022-12-30 Published:2023-01-11
  • Supported by:
    National Natural Science Foundation of China (62132021, 61972067); National Key Research and Development Program of China (2022ZD0210500)

摘要:

随着三维感知设备的发展和大规模三维数据的出现,基于三维重建与理解的视觉感知技术得到了 大量关注。与此同时,智能图形逐渐改变了传统图形系统在交互中的被动角色,朝着任务引导的、感知驱动的智 能体对真实或虚拟环境的主动交互发展。可以说,计算机图形学正在突破“信息表达”这一传统范畴,逐步拓展 迈入“信息感知”领域;图形学的交互技术也由传统的人机交互,逐渐延伸和发展出面向智能任务的主动三维交 互。其中,数据驱动三维几何分析与建模的理论和方法,特别是在线重建与分析技术,对三维感知和三维交互形 成了重要支撑。本文从图形学和视觉融合的视角,结合研究案例,介绍了主动式三维感知与交互,讨论了“主动 式”的特点、优势和挑战,并试图探讨这一方向的开放问题与发展趋势。

关键词: 几何引导, 三维感知与交互, 主动感知与交互

Abstract:

With the proliferation of 3D sensors and the development of large-scale 3D data, visual perception based on 3D reconstruction and understanding has received much attention. Meanwhile, intelligent graphics also leads a breakthrough in active interaction, becoming task-driven and targeting both virtual and real environments. In this sense, computer graphics, which is traditionally a field of information expression, is now expanding into the territory of information sensing. The interaction of computer graphics is also moving towards active interaction driven by intelligent tasks. Alongside this trend, data-driven analysis and modeling of 3D data, especially the corresponding online techniques, have been playing a critical role. This article expounded on active 3D perception and interaction from the perspective of the fusion between graphics and vision, along with several concrete research examples. A special emphasis was put on the advantages and challenges of being active for 3D perception and 3D interaction, and tentative explorations were made on the open problems and trends along this direction. 

Key words: geometric guidance, 3D perception and interaction, active perception and interaction

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