Yang Jiachen, Xu Ru, Lv Zhihan, Song Houbing
School of Electronic Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Tianjin International Engineering Institute, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Sensors (Basel). 2016 Mar 22;16(3):421. doi: 10.3390/s16030421.
The Internet of Things is built based on various sensors and networks. Sensors for stereo capture are essential for acquiring information and have been applied in different fields. In this paper, we focus on the camera modeling and analysis, which is very important for stereo display and helps with viewing. We model two kinds of cameras, a parallel and a converged one, and analyze the difference between them in vertical and horizontal parallax. Even though different kinds of camera arrays are used in various applications and analyzed in the research work, there are few discussions on the comparison of them. Therefore, we make a detailed analysis about their performance over different shooting distances. From our analysis, we find that the threshold of shooting distance for converged cameras is 7 m. In addition, we design a camera array in our work that can be used as a parallel camera array, as well as a converged camera array and take some images and videos with it to identify the threshold.
物联网基于各种传感器和网络构建。用于立体捕捉的传感器对于获取信息至关重要，并已应用于不同领域。在本文中，我们专注于相机建模与分析，这对于立体显示非常重要且有助于观看。我们对两种相机进行建模，一种是平行相机，一种是汇聚相机，并分析它们在垂直视差和水平视差方面的差异。尽管在各种应用中使用了不同类型的相机阵列并在研究工作中进行了分析，但关于它们之间的比较却鲜有讨论。因此，我们对它们在不同拍摄距离下的性能进行了详细分析。通过我们的分析，我们发现汇聚相机的拍摄距离阈值为7米。此外，我们在工作中设计了一种相机阵列，它既可以用作平行相机阵列，也可以用作汇聚相机阵列，并使用它拍摄了一些图像和视频以确定该阈值。
