Wand: 360? video projection mapping using a 360? camera

被引:0
|
作者
Lee, Jungjin [1 ]
机构
[1] Soongsil Univ, Global Sch Media, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Video projection; Projection mapping; Virtual reality; Multi-projector display; Automatic geometric registration; 360-degree camera; REGISTRATION;
D O I
10.1007/s10055-023-00791-2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In a surrounding projection-based display environment (e.g., a dome theater), the viewers can enjoy a 360(?) video with a strong sense of immersion. Building a thriving immersive environment requires two sophisticated steps. First, to generate a single seamless screen, multiple projectors constituting the surrounding display should be carefully registered to the surface. Second, a 360(?) video should be mapped to the projection area by considering the display surface geometry and a sweet spot (i.e., a reference viewing position) to allow viewers to perceive the correct perspectives. In this study, Wand, a novel system utilizing a consumer 360(?) spherical camera as a calibration device, is proposed to efficiently solve these two issues. Wand first establishes correspondences between the 360(?) camera and projectors using structured light patterns, and then filters out any outliers using heuristic criteria. Next, by assuming that the camera is positioned in a sweet spot, Wand solves the geometric registration of the projectors by formulating it as a simple 2D grid mesh parameterization with the correspondence constraints. Consequently, each projector mesh is directly registered into the spherical coordinates, allowing each projector to easily render a perspective-correct view from a 360(?) video. We applied Wand to various environments of different dimensions and shapes. The results demonstrate that our method can be used to successfully build seamless and immersive displays and provide correct perspectives at a sweet spot.
引用
收藏
页码:2015 / 2027
页数:13
相关论文
共 50 条
  • [1] A 360-DEGREE CAMERA AND PROJECTION SYSTEM
    LAIKIN, M
    PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1983, 391 : 88 - 90
  • [2] Efficient Projection and Coding Tools for 360° Video
    Lin, Jian-Liang
    Lee, Ya-Hsuan
    Shih, Cheng-Hsuan
    Lin, Sheng-Yen
    Lin, Hung-Chih
    Chang, Shen-Kai
    Wang, Peng
    Liu, Lin
    Ju, Chi-Cheng
    IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2019, 9 (01) : 84 - 97
  • [3] PROJECTION BASED ADVANCED MOTION MODEL FOR CUBIC MAPPING FOR 360-DEGREE VIDEO
    Li, Li
    Li, Zhu
    Budagavi, Madhukar
    Li, Houqiang
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 1427 - 1431
  • [4] 360VO: Visual Odometry Using A Single 360 Camera
    Huang, Huajian
    Yeung, Sai-Kit
    2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2022), 2022, : 5594 - 5600
  • [5] Dissecting Latency in 360° Video Camera Sensing Systems
    Yan, Zhisheng
    Yi, Jun
    SENSORS, 2022, 22 (16)
  • [6] Automatic Camera Path Generation from 360° Video
    Fassold, Hannes
    ADVANCES IN VISUAL COMPUTING, ISVC 2019, PT I, 2020, 11844 : 505 - 514
  • [7] Transitioning360: Content-aware NFoV Virtual Camera Paths for 360 Video Playback
    Wang, Miao
    Li, Yi-Jun
    Zhang, Wen-Xuan
    Richardt, Christian
    Hu, Shi-Min
    2020 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR 2020), 2020, : 174 - 183
  • [9] 360° Tracking Using a Virtual PTZ Camera
    Greco, Luca
    La Cascia, Marco
    IMAGE ANALYSIS AND PROCESSING,(ICIAP 2017), PT I, 2017, 10484 : 62 - 72
  • [10] 360-VIO: A Robust Visual-Inertial Odometry Using a 360° Camera
    Wu, Qi
    Xu, Xiangyu
    Chen, Xieyuanli
    Pei, Ling
    Long, Chao
    Deng, Junyuan
    Liu, Guoqing
    Yang, Sheng
    Wen, Shilei
    Yu, Wenxian
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (09) : 11136 - 11145