高度破坏场景中的摄像机位置估计：所有关于该基地，没有形状问题
Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble
摘要：
我们提出了一种改进运动恢复结构中摄像机位置估计的策略。我们的设置假设高度损坏的成对方向（即，归一化的相对位置向量），因此对于该问题存在改进当前技术水平的解决方案的明显空间。我们的策略通过使用几何一致性条件来识别严重损坏的成对方向。然后，它选择一个干净的成对方向集作为常见求解器的预处理步骤。我们在理论上保证了我们的战略的基本版本在合成腐败模型下的成功表现。人工和真实数据的数值结果表明，我们的战略取得了显着的改善。
英文摘要：
We propose a strategy for improving camera location estimation in structure from motion. Our setting assumes highly corrupted pairwise directions (i.e., normalized relative location vectors), so there is a clear room for improving current state-of-the-art solutions for this problem. Our strategy identifies severely corrupted pairwise directions by using a geometric consistency condition. It then selects a cleaner set of pairwise directions as a preprocessing step for common solvers. We theoretically guarantee the successful performance of a basic version of our strategy under a synthetic corruption model. Numerical results on artificial and real data demonstrate the significant improvement obtained by our strategy.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
