Shen Liang, Feng Xiaobing, Zhang Yuan, Shi Min, Zhu Dengming, Wang Zhaoqi
Virtual Reality Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.
Sensors (Basel). 2017 Apr 7;17(4):799. doi: 10.3390/s17040799.
The key obstacle to the use of consumer cameras in computer vision and computer graphics applications is the lack of synchronization hardware. We present a stroboscope based synchronization approach for the charge-coupled device (CCD) consumer cameras. The synchronization is realized by first aligning the frames from different video sequences based on the smear dots of the stroboscope, and then matching the sequences using a hidden Markov model. Compared with current synchronized capture equipment, the proposed approach greatly reduces the cost by using inexpensive CCD cameras and one stroboscope. The results show that our method could reach a high accuracy much better than the frame-level synchronization of traditional software methods.
在计算机视觉和计算机图形应用中，使用消费级相机的关键障碍是缺乏同步硬件。我们提出了一种基于频闪仪的电荷耦合器件（CCD）消费级相机同步方法。该同步通过以下方式实现：首先基于频闪仪的拖影点对齐来自不同视频序列的帧，然后使用隐马尔可夫模型匹配这些序列。与当前的同步捕获设备相比，所提出的方法通过使用廉价的CCD相机和一个频闪仪大大降低了成本。结果表明，我们的方法能够达到比传统软件方法的帧级同步更高的精度。
