【摘要】 受光照角度的影响，探测器拍摄的小天体图像不完整，三维重构困难。针对此问题，提出了一种基于不完备轮廓的小天体三维重构算法。首先，利用Ostu算法对图像进行阈值分割，利用EDPF(edge drawing parameter free)算法提取不完备轮廓；其次，利用太阳的方位信息，结合不完备轮廓，考虑阴影的影响，保留被照亮区域和可能区域，计算出扩展轮廓；然后，利用一组扩展轮廓和投影矩阵，将三维包围盒的计算转化为线性不等式的求解；最后，划分体素实现小天体的三维重构。利用平均半径对重构结果与参考模型的豪斯多夫距离进行归一化，评价重构质量。仿真结果表明，重构误差小于4%的分布概率占95%以上，并对光照角度变化具有一定的鲁棒性。更多还原

【Abstract】 Affected by the angle of illumination, the images of small bodies taken by the spacecraft are incomplete, and it is difficult to reconstruct them with existing algorithms. To solve this problem, a 3D reconstruction algorithm for small bodies based on incomplete contours was proposed. Firstly, the image was subjected to threshold segmentation using the Otsu algorithm, and the extraction of incomplete contours was performed using the EDPF(edge drawing parameter free) algorithm. Subsequently, leveraging the solar azimuth information and combining it with the incomplete contours, the influence of shadows was taken into account. This process involved retaining both the illuminated regions and potential areas, resulting in the computation of expanded contours. Next, through the utilization of a set of expanded contours and projection matrices, the computation of the 3D bounding box was transformed into a linear inequality problem. Finally, voxel partitioning was performed to accomplish the 3D reconstruction of the small body. The quality of reconstruction was evaluated by normalizing the Hausdorff distance between the reconstructed results and reference models using the average radius. The simulation results indicate that the distribution probability of reconstruction errors being less than 4% is over 95%, and the algorithm also shows a certain level of robustness against changes in the angle of illumination.更多还原