【摘要】 精确的三维目标点定位在许多工业应用中具有十分重要的地位,如大型物体装配、多视角测量数据的拼合等。本文重点研究了近景摄影测量中三维目标点的精确定位技术,针对影响精度的重要因素,首先仔细研究并提出了一个高精度的椭圆中心(目标点)图像抽取方法,然后提出了一个新的集成于多图像三维重建过程的隐式图像畸变矫正方法,该方法通过一个简明的隐式模型对镜头产生的图像畸变进行补偿。提出的方法已经应用于一个自主版权的摄影测量系统。文中给出了真实的测量实验和在飞机上的工程应用实例,表明提出的方法能够显著提高三维定位精度。更多还原

【Abstract】 Accurate three-dimensional (3D) target positioning is of great importance in many industrial applications. Although various methods for reconstructing 3D information from a set of images have been available in the literature,few of them pay enough attention to the indispensable procedures,such as target extraction from images and image correction having strong influences upon the 3D positioning accuracy. This article puts forward a high-precision ellipse center (target point) extraction method and a new image correction approach which has been integrated into the 3D reconstruction pipeline with a concise implicit model to accurately compensates for the image distortion. The methods are applied to a copyright-reserved close range photogrammetric system. Real measuring experiments and industrial applications have evidenced the proposed methods,which can significantly improve the 3D positioning accuracy.更多还原