Dynamic Multi-projection Mapping Based on Parallel Intensity Control
Dynamic Multi-projection Mapping Based on Parallel Intensity Control
复制标题
基于并行强度控制的动态多投影映射
DOI：
10.1109/tvcg.2022.3150488
复制
发表时间：
2022
影响因子：
5.2
通讯作者：
Yoshihiro Watanabe
中科院分区：
文献类型：
--
作者：
Takashi Nomoto;Wanlong Li;Hao;Yoshihiro Watanabe
使用多个投影仪的投影映射是有前途的空间增强现实，但是，它很难应用于动态场景。这是因为传统方法基于全局优化方法同时决定多个图像的所有像素强度，并且难以减少从运动到投影的延迟。为了缓解这一点，我们提出了一种新的方法，控制强度的基础上，像素并行计算的每个投影机在实时低延迟。这种并行计算利用了这样的见解，即如果像素相对于表面结构足够小，则可以独立地近似重叠区域中来自不同投影仪的投影像素。此外，我们的像素并行计算方法允许分布式系统配置，这样可以增加投影机的数量，形成一个网络，具有很高的可扩展性。我们展示了一个无缝映射到动态场景在360 fps的9.5毫秒的延迟使用10台摄像机和4台投影仪。
Projection mapping using multiple projectors is promising for spatial augmented reality; however, it is difficult to apply it to dynamic scenes. This is because the conventional method decides all pixel intensities of multiple images simultaneously based on the global optimization method, and it is hard to reduce the latency from motion to projection. To mitigate this, we propose a novel method of controlling the intensity based on a pixel-parallel calculation for each projector in real-time with low latency. This parallel calculation leverages the insight that the projected pixels from different projectors in overlapping areas can be approximated independently if the pixel is sufficiently small relative to the surface structure. Additionally, our pixel-parallel calculation method allows a distributed system configuration, such that the number of projectors can be increased to form a network for high scalability. We demonstrate a seamless mapping into dynamic scenes at 360 fps with a 9.5-ms latency using ten cameras and four projectors.
DOI：
10.1109/tvcg.2017.2734428
发表时间：
2017-08
影响因子：
5.2
作者：
C. Siegl;Vanessa Lange;M. Stamminger;F. Bauer;Justus Thies
通讯作者：
C. Siegl;Vanessa Lange;M. Stamminger;F. Bauer;Justus Thies
DOI：
10.1145/2816795.2818111
发表时间：
2015
期刊：
ACM Transactions on Graphics (TOG)
影响因子：
--
作者：
C. Siegl;M. Colaianni;L. Thies;J. Thies;M. Zollhöfer;S. Izadi;M. Stamminger;F. Bauer
通讯作者：
F. Bauer