In this paper, in order to address
this problem, we propose a high-precision registration method based on multiple
view geometry theory. In the areas of reverse engineering, relic preservation,
biomedicine, the most powerful methods of obtaining three-dimensional (3D)
surface data of objects, organised light scanning device based on binocular
stereo vision, have been commonly used. With the rising number of registrations
when measuring a large scale object using standardised light scanning, the
multiview 3D data registration accuracy will decrease. First, during the
scanning process, a multiview network is built. To refine the multiview network
to achieve high-precision global control points, the package adjustment system
of optical near range photogrammetry is used. After that, the 3D data is
documented with the global control points under each local coordinate of each
scan. In the conventional registration procedure, the approach overcomes the
accumulation of errors and decreases the time consumption of the following 3D
data global optimization. The accuracy and reliability of multiview 3D scan
registration is improved. The effectiveness of the proposed algorithm will be
tested by experiments.
Author (s) Details
Jianying Yuan
Chengdu University of Information Technology, Chengdu 610225, China.
Qiong Wang
College
of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031,
China.
Xiaoliang Jiang
Quzhou University, Quzhou 324000, China.
Bailin Li
College of Mechanical Engineering, Southwest Jiaotong University, Chengdu
610031, China.
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