首页>
外文OA文献
>Globally convergent autocalibration using interval analysis
【2h】
Globally convergent autocalibration using interval analysis
展开▼
机译:使用区间分析进行全局收敛的自动校准
展开▼
免费
页面导航
摘要
著录项
引文网络
相似文献
相关主题
摘要
We address the problem of autocalibration of a moving camera with unknown constant intrinsic parameters. Existing autocalibration techniques use numerical optimization algorithms whose convergence to the correct result cannot be guaranteed, in general. To address this problem, we have developed a method where an interval branch-and-bound method is employed for numerical minimization. Thanks to the properties of Interval Analysis this method converges to the global solution with mathematical certainty and arbitrary accuracy and the only input information it requires from the user are a set of point correspondences and a search interval. The cost function is based on the Huang-Faugeras constraint of the essential matrix. A recently proposed interval extension based on Bernstein polynomial forms has been investigated to speed up the search for the solution. Finally, experimental results are presented.
展开▼