摘要
摄像机自标定是进行三维重建的重要步骤之一,所以对摄像机自标定算法进行研究是具有重大意义的。首先讨论了两种摄像机自标定算法,即基于模型的摄像机自标定算法以及基于基础矩阵的摄像机自标定算法。最后,对这两种算法从性能上进行了比较。
Camera self-calibration is an important step of three-dimensional reconstruction,so the study on camera self-calibration algorithm has great significance.This article first discusses the two kinds of camera self-calibration algorithms： model-based camera self-calibration algorithm and fundamental matrix-based camera self-calibration algorithm.Finally,two algorithms are compared from the performance of these.
出处
《信息技术》
2010年第8期105-108,111,共5页
Information Technology
关键词
基于模型
基于基础矩阵
自标定
两种算法比较
model-based
fundamental matrix-based
self-calibration
comparison of two algorithms
