关键词: 大尺寸三维形貌测量, 双目视觉原理, 全局控制网, 平差算法, 数据融合

Abstract:

Binocular vision sensor could not obtain the 3D information of a surface of  the large-sized object by single measuring, due to the limitation of camera view field, a new measuring method was researched and finally achieved, that measured large-sized objects by using global control net. The experimental results demonstrate that this method possesses high-speed and high-precision, in addition it extends binocular vision sensor's measurement range indirectly. In another way, this method overcomes the shortcomings of low-precision effectively in the course of splicing the images in 3D shape measurement of large objects. This method is appropriate for large-scale measurement, it can obtain the relative location and the information of 3D dimensions for the characteristic points on the object rapidly, simply and accurately,
so that it can recovery 3D shape of objects.

Key words: large-sized 3D shape measurement, binocular vision theory, global control net, adjustment algorithmic, data fusion