optical feature
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2019 ◽  
Vol 121 ◽  
pp. 120-132 ◽  
Author(s):  
E. Cuesta ◽  
B.J. Alvarez ◽  
S. Martinez-Pellitero ◽  
J. Barreiro ◽  
H. Patiño

2018 ◽  
Vol 110 ◽  
pp. 193-206 ◽  
Author(s):  
Susana Martínez-Pellitero ◽  
Eduardo Cuesta ◽  
Sara Giganto ◽  
Joaquín Barreiro

Author(s):  
Yayori Abe ◽  
Fumiharu Nakajima ◽  
Masanari Kajiwara ◽  
Shigeki Nojima ◽  
Toshiya Kotani ◽  
...  

2017 ◽  
Vol 137 ◽  
pp. 135-142 ◽  
Author(s):  
Xiao Han ◽  
Weixiang Gong ◽  
Yue Tong ◽  
Donghui Wei ◽  
Yanyan Wang ◽  
...  
Keyword(s):  

2017 ◽  
Vol 13 ◽  
pp. 526-533 ◽  
Author(s):  
E. Cuesta ◽  
J.M. Suarez-Mendez ◽  
S. Martinez-Pellitero ◽  
J. Barreiro ◽  
B.J. Alvarez ◽  
...  

2012 ◽  
Vol 239-240 ◽  
pp. 1352-1355
Author(s):  
Jing Zhou ◽  
Yin Han Gao ◽  
Chang Yin Liu ◽  
Ji Zhi Li

The position estimation of optical feature points of visual system is the focus factor of the precision of system. For this problem , to present the Total Least Squares Algorithm . Firstly , set up the measurement coordinate system and 3D model between optical feature points, image points and the position of camera according to the position relation ; Second , build the matrix equations between optical feature points and image points ; Then apply in the total least squares to have an optimization calculation ; Finally apply in the coordinate measuring machining to have a simulation comparison experiment , the results indicate that the standard tolerance of attitude coordinate calculated by total least squares is 0.043mm, it validates the effectiveness; Compare with the traditional method based on three points perspective theory, measure the standard gauge of 500mm; the standard tolerance of traditional measurement system is 0.0641mm, the standard tolerance of Total Least Squares Algorithm is 0.0593mm; The experiment proves the Total Least Squares Algorithm is effective and has high precision.


2012 ◽  
Vol 263-266 ◽  
pp. 2381-2384
Author(s):  
Jing Zhou ◽  
Shi Jun Li ◽  
Dong Yan Huang ◽  
Xiao Lin Chen ◽  
Ye Chi Zhang

With the development of visual measurement system , the visual measurement system of single camera which applied in the imaging theory of optical feature points , it has been widespread used in the modern production . Due to the limit of the environment in scene , the visual measurement system of single camera could not measure the shield between the measured objects each other . Focus on this problem , present a kind of the the knowledge of measurement network based on the visual measurement of single camera , set up the measurement network system via the multi-control points . Measure the optical feature points in every network control point via the visual measurement system of single camera; Normalize the measured coordinates into the same world coordinate system , then get the global data , and achieve the overall measurement ; Apply in the three coordinate measuring machine(CMM) to have the simulation experiment , the result indicates that the maximum absolute tolerance between the normalization coordinates via the center of point set and the ones measured by CMM directly is 0.058mm ; But the one between the coordinate repeatedly measured at the position of one network control point is 0.066mm ; So the data normalization has the advantage of more high precision .


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