关键词: 激光点云, 数字影像, 细部重建, 多视匹配

Abstract: With the technological development in optics and electronics, range scanning systems are becoming more and more accurate, but more and more affordable. Since the range scanning systems directly capture the depth information of the world, they significantly simplify the analysis of range images. As a result, it is attracting more and more attention from both academia and industry. However, it can not capture the accurate information of break lines, which are usually expressed as semantic information in digital images. The characteristics of laser scanner data and camera data can be regarded as complementary, therefore, the integration of digital image and point clouds provides a promising approach for fine reconstruction of objects, especially catering to break liens and edge splits. This paper starts with the estimation procedures of the internal and external orientation parameters. The close range point clouds are then projected onto several digital images as the initial three dimensional coordinate values of some features, and then multi-view image matching theories are discussed in detail, which include matching based on epipolar lines, and matching based on least square adjustments. The performance of the developed procedures is evaluated through experimental results from real data. Experimental results show that the three dimensional points of some detailed features can be represented, which indicates that the proposed methodology is effective and efficient.

Key words: close range point clouds, digital image, fine reconstruction, multi-view matching