A ways-free registration method and its application in 3-D data fusion

被引:0
|
作者
Kou, XY [1 ]
Wang, Z [1 ]
Chen, MZ [1 ]
Ye, SH [1 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
来源
关键词
stereovision; epipolar constraint; 3-D measurement; image registration; data fusion; computer vision;
D O I
10.1117/12.441592
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a new ways-free image registration method based on adherent mark recognition method. Accurate 3-D coordinates are first got in each unit-measurement and then all the unit-data information are amalgamated into a communal coordinate system. The stereovision based 3-D profilometer computes at least three marks' 3-D coordinates first and then these coordinates are applied to calibrate the translation and orientation matrix between the two different inspection positions. This method allows any freedom of translation or orientation between every two unit-measurements without special constraints. With all of the six possible freedom transformations, the system's flexibility and adaptability are greatly enhanced, so the objects under inspection can be measured according to their inherent shapes at each optimal angle of view. As there needs no redundant ways in the measurement, the portable on-spot inspection becomes feasible. The paper analyzes two different amalgamation algorithms in detail and finally computer simulation results are given.
引用
收藏
页码:280 / 285
页数:6
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