不完备轮廓图像小天体三维重构算法

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，本文提出一种基于不完备轮廓的小天体三维重构算法。该算法利用太阳的方位信息，确定图像上二维太阳光的矢量方向，结合不完备轮廓，计算出扩展轮廓，然后计算出三维包围盒，划分体素，进行三维重构。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。

3D Reconstruction Algorithm for Small Bodies from Incomplete Contour Image

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, this paper proposed a 3D reconstruction algorithm for small bodies based on incomplete contours. The algorithm uses the orientation information of the sun to determine the direction of the sun''s rays on the image. Combined with the incomplete contour, the algorithm calculates the extended contour, and then calculates the 3D bounding box, divides voxels, and performs 3D reconstruction. The Hausdorff distance between the reconstruction result and the reference model was normalized by the average radius to evaluate the reconstruction quality. The simulation results show that the distribution probability of the reconstruction error is less than 4% accounts for more than 95%, and it has certain robustness to the change of illumination angle.