Height Estimation of 3D Surface Based PMS in the Natural Environment

被引：0
|
作者：
Zhou, Ziqi [1 ]
Guo, Zhenyu [1 ]
Sun, Xiaoting [1 ]
机构：
[1] Ludong Univ, Sch Informat & Elect Engn, Yantai, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC) | 2017年
关键词：
PMS; Normal; Ambient light; SFS; Gradient; SHAPE;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Height estimation of 3D surface based PMS is generally performed in the condition of distance point lighting source and certain ambient light; the intensity of the ambient light is far lower than lighting condition. Due to 3D shape perception of human eyes is more accurate in natural environment. This paper puts forward a new application of using three images to estimate its 3D shape under the natural environment. Experimental results shown that 3D shape estimation of object under the natural environment is accurate, moreover it reduces the complexity of the equipment and the restructured surface is allowed to have certain shading.
引用
收藏
页码：631 / 635
页数：5
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