title: A Self-Assessment Stereo Capture Model Applicable to the Internet of Things.
abstract: The realization of the Internet of Things greatly depends on the information communication among physical terminal devices and informationalized platforms, such as smart sensors, embedded systems and intelligent networks. Playing an important role in information acquisition, sensors for stereo capture have gained extensive attention in various fields. In this paper, we concentrate on promoting such sensors in an intelligent system with self-assessment capability to deal with the distortion and impairment in long-distance shooting applications. The core design is the establishment of the objective evaluation criteria that can reliably predict shooting quality with different camera configurations. Two types of stereo capture systems-toed-in camera configuration and parallel camera configuration-are taken into consideration respectively. The experimental results show that the proposed evaluation criteria can effectively predict the visual perception of stereo capture quality for long-distance shooting.
authors: School of Electronic Information Engineering, Tianjin University, 92 Weijin Road,Tianjin 300072, China. yclin@tju.edu.cn.
authors: Yancong
authors: Y
authors: Lin
authors: School of Electronic Information Engineering, Tianjin University, 92 Weijin Road,Tianjin 300072, China. yangjiac@163.com.
authors: Jiachen
authors: J
authors: Yang
authors: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China. zh.lv@siat.ac.cn.
authors: Zhihan
authors: Z
authors: Lv
authors: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China. weiwei@xaut.edu.cn.
authors: Wei
authors: W
authors: Wei
authors: Department of Electrical and Computer Engineering, West Virginia University, Montgomery, WV 25136, USA. Houbing.Song@mail.wvu.edu.
authors: Houbing
authors: H
authors: Song
keywords: Internet of Things; information acquisition; long-distance shooting; quality assessment; self-assessment; stereo capture