A Self-Assessment Stereo Capture Model Applicable to the Internet of Things
文献类型:期刊论文
作者 | Yancong Lin; Jiachen Yang; Zhihan Lv; Wei Wei; Houbing Song |
刊名 | Sensors
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出版日期 | 2015 |
英文摘要 | 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. |
收录类别 | SCI |
原文出处 | http://www.mdpi.com/1424-8220/15/8/20925/htm |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/6866] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | Sensors |
推荐引用方式 GB/T 7714 | Yancong Lin,Jiachen Yang,Zhihan Lv,et al. A Self-Assessment Stereo Capture Model Applicable to the Internet of Things[J]. Sensors,2015. |
APA | Yancong Lin,Jiachen Yang,Zhihan Lv,Wei Wei,&Houbing Song.(2015).A Self-Assessment Stereo Capture Model Applicable to the Internet of Things.Sensors. |
MLA | Yancong Lin,et al."A Self-Assessment Stereo Capture Model Applicable to the Internet of Things".Sensors (2015). |
入库方式: OAI收割
来源:深圳先进技术研究院
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