Search - Calibrat

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[Software Engineering] Research-on-Optimization DL : 0: 介绍了基于模型的位姿估计中所使用的一些优化方法。为了提高位姿估计的精度, 摄像机的标定参数必须足够精确, 这就对标定过程的非线性优化算法提出了很高的要求, 采用了一种新的优化目标函数, 用来最小化控制点间的三维重建误差, 从而使标定参数是全局最优在双像机位姿估计中, 引入了实时遗传算法进行全局搜索, 加快了算法的收敛速度。最后的实验证明了这些方法的正确性并显示出这些方法在精度上比传统方法有了较大程度的提高-　It int roduces s ome opt imizat ion methods in model-based pose est imat ion. Camera calibration parameters mus t be accurat e enough t o guarantee est imation precison. A new cos t function is proposed t o minimize the 3D reconst ruct ion error of control point s, and it makes calibrat ion paramet ers globally optimal. In binocular case, real-time genetic algorithm( RGA) is ex plored f or global searching, and it improves the converg ent speed. Ex periment s verif y these schemes , and they can improve es timat ion precis ion dramatically.
Date : 2025-12-21 Size : 109kb User : cp