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Sensors 2015, 15(8), 20925-20944; doi:10.3390/s150820925

A Self-Assessment Stereo Capture Model Applicable to the Internet of Things

1
School of Electronic Information Engineering, Tianjin University, 92 Weijin Road,Tianjin 300072, China
2
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China
3
School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China
4
Department of Electrical and Computer Engineering, West Virginia University, Montgomery, WV 25136, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Yunchuan Sun
Received: 10 July 2015 / Revised: 7 August 2015 / Accepted: 14 August 2015 / Published: 21 August 2015
(This article belongs to the Special Issue Identification, Information & Knowledge in the Internet of Things)
View Full-Text   |   Download PDF [1648 KB, uploaded 26 August 2015]   |  

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. View Full-Text
Keywords: Internet of Things; information acquisition; stereo capture; self-assessment; long-distance shooting; quality assessment Internet of Things; information acquisition; stereo capture; self-assessment; long-distance shooting; quality assessment
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lin, Y.; Yang, J.; Lv, Z.; Wei, W.; Song, H. A Self-Assessment Stereo Capture Model Applicable to the Internet of Things. Sensors 2015, 15, 20925-20944.

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