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camerabiaoding
- 详细介绍了非线性模型下的摄像机自标定、广角镜头的摄像机非线性标定技术、基于非线性最优化的摄像机标定方法以及一种逐步求解的新的摄像机线性标定方法。该文档对当今相机标定技术做了完全归纳，对初学者和提高者有很大的帮助价值。
biaoding
- 基于平面格网的非量测CCD相机自标定，大家可以看看。不错的-Based on the plane grid of the measurement CCD camera calibration since
CameraSelfCalibrationBasedOnKruppa
- 关于基于Kruppa方程的摄像机自标定方法的两篇论文，相对于传统的标校方法，是一种新的相机自标定技术-About Kruppa equation based camera self-calibration method of two papers, as opposed to the traditional Calibration Method is a new camera self-calibration technique
Structure-From-Motion-From-Two-Views
- 基于两幅图像的相机移动计算。基于matlab中的视觉跟踪模块实现，使用matlab 2016b自带工具箱。可以当作slam课程的作业。包含实验的照片。以及用于相机标定的照片。-Camera movement is calculated based on the two images. Matlab-based visual tracking module, using matlab 2016b own toolbox. It can be used as job slam courses. Ex
棋盘格INI
- 自定义棋盘格生成程序, 配合视频截图和Opencv自带相机标定例程可以很好标定相机(Custom checkerboard generation program, combined with video screenshots and Opencv camera calibration routine can calibrate the camera well.)