CAJ | 학술논문

针对激光点云和高分辨率数字影像数据的优缺点，提出融合两种数据进行目标细部几何特征重建的方法。该方法以激光点云数据作为初始空间位置估计，就基于核线约束的多视影像匹配和基于物方的多视最小二乘影像匹配方法展开讨论，并以某小型文物为研究对象，探讨了集成近景激光扫描数据和高分辨率影像数据实现的目标细部几何特征重建的方法，通过实验验证了所提出方案的正确性和有效性。
침대격광점운화고분변솔수자영상수거적우결점，제출융합량충수거진행목표세부궤하특정중건적방법。해방법이격광점운수거작위초시공간위치고계，취기우핵선약속적다시영상필배화기우물방적다시최소이승영상필배방법전개토론，병이모소형문물위연구대상，탐토료집성근경격광소묘수거화고분변솔영상수거실현적목표세부궤하특정중건적방법，통과실험험증료소제출방안적정학성화유효성。
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 proce-dures 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.