摘要
为了有效地实现相机自标定,本文提出了一种基于非刚体轨迹基的线性自标定方法,该方法利用了非刚体的运动轨迹构成一个低维子空间,并且该低维子空间的基可以由一组正交小波基线性表示的特性,线性地实现相机的自标定.由于该正交小波基可以事先定义,因此求解的未知数大大减少,而且使传统的相机自标定问题转化为线性求解问题,提高了算法的鲁棒性.模拟实验和真实实验数据结果表明,该方法能够有效地实现相机的自标定.
To calibrate the camera,a linear camera self-calibration method based on non-rigid trajectory basis is presented in this paper. Based on the fact that the trajectories of non-rigid span a lowsubspace which can be spanned by an orthogonality wavelet basis,the camera self-calibration can be linearly realized. Because the wavelet basis can be predefined,the solved parameters are deduced and the camera self-calibration becomes a linear optimal problem,which can improve the robustness of the algorithm. The experiments of both simulation and real data showthat the presented method can efficiently realize the camera self-calibration.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2017年第1期135-139,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.61402274
No.41471280
No.61501286
No.31501228
No.61202314)
陕西省工业科技攻关项目(No.2016GY-081)
陕西省重点科技创新团队计划(No.2014KTC-18)
陕西师范大学中央高校基本科研业务费(No.GK201402040)
陕西师范大学学习科学交叉学科培育计划
关键词
相机自标定
非刚体
轨迹基
camera self-calibration
non-rigid
trajectory basis
