CASIA OpenIR  > 毕业生  > 硕士学位论文
Thesis Advisor杨一平
Degree Grantor中国科学院研究生院
Place of Conferral北京
Keyword微光图像 双目测距 三角化 三边测量 误差修正
Other Abstract
Ranging technology is widely used in various scenarios such as homeland security and production. Optical ranging at night have passive characteristic, which shows significance in applications such as security monitoring and night observation. But in nighttime and low-light-level circumstance, complex and changeable shooting environment, noise and motion blur bring challenges to the accurate and stable measurement of target distance. Therefore, developing a practical passive ranging method in low-light-level environment is an urgent problem. Based on characteristics of low-light-level imaging and general analysis of binocular ranging methods, this thesis construct a portable low-light-level ranging prototype system using stable and efficacious feature extraction method adaptive for low-light-level image, and implement a system accuracy optimization method. In 30-200 meters, the relative error of the corrected results is below 1%, experiments show the effectiveness of the algorithm and the system. The thesis is constructed as follows:
(1) A low-light-level binocular ranging prototype system is constructed. In this thesis, a convergent stereopsis system carrying low-light-level cameras is built, along with a software for low-light-level image capturing and processing. The software is module based, which is capable of adjusting the imaging system of cameras, conducting online ranging based on field data. Furthermore, the software supports cross platform running and requires little computing resource, which makes the hardware system portable.
Document Type学位论文
Recommended Citation
GB/T 7714
施祺. 微光测距关键技术研究[D]. 北京. 中国科学院研究生院,2017.
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