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e2lsh.rar
- Nearest Neighbor Methods in Learning and Vision: Theory and Practice书中章节Locality-Sensitive Hashing Scheme Based on p-Stable Distributions 中LSH-Local Sensitive Hashing算法的C语言在Red Linux下实现,Book <Nearest Neighbor Methods in Learning and Vision: Theory
calibration
- 基于opencv的双目立体视觉摄像机的定标，说的非常详细，告诉我们每一步该干什么-Based on the binocular stereo vision opencv camera calibration, that the very detailed and tells us what to do each step
rice_detection
- 利用机器视觉系统代替人眼获取各项大米参数,再参照国标对其进行等级划分。在此基础上, 利用MATLAB软件的神经网络工具箱在数理统计基础上完成检测模型的构建,从而实现对未知大米外特性的评判,并为检测大米综合品质奠定了基础。-rice detection.At p resent, the evaluation method of the rice quality in China is still at the level of naked eye observation. How to cla
sift_peizhun
- 针对sift特点应用到了配准算法里去，并且可应用与可见光与红外光的配准中去-In this paper, SIFT( Scale Invariant Feature Transform) feature, which has shown great success in computer vision, is introduced into image registration in remote sensing. In addition, we also p roposed a fea
Digital_Image_Process_Example
- 本展示程式，采用Borland C++ Builder编译器开发， 参考书籍为 Digital Image Processing, Prentice Hall, 2002. (2nd edition) 具备功能如下： 空间域处理 Spatial domain proc.. 灰阶值转换 Gray Level Trans.. 遮罩型滤波器 Spatial Filter 统计型滤波器 Statistics Filter 梯度运算
hand_detector_code.tar
- RGB彩色图像的手部检测 Hand detection using multiple proposals Mittal, A., Zisserman, A. and Torr, P. H. S. Proceedings of British Machine Vision Conference, 2011.-his software is a hand detector for static images, designed mainly for human layout estimati
MeanShiftSegMent
- 根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，
-Graph-Based-Image-Segmentation
- 下面这个论文描述的分割算法的实现： Efficient Graph-Based Image Segmentation Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, 59(2) September 2004. 这个程序使用彩色图像（PPM格式）并为产生的分割结果的每个区域随机分配颜色。-Implementation of the seg
ComputerVision
- 基于投影M估计量的稳健回归方法，用于估计计算机视觉立体像对间的Fundamental Matrix。Fundamental Matrix，参考文献：H. Chen, P. Meer, Robust regression with projection based M-estimators. 9th International Conference on Computer Vision (ICCV), Nice, France, October 2003, 878-885.PS：这是作者11年前本
BSR_source
- Contour Detection and Hierarchical Image Segmentation (UC Berkeley) MATLAB/C++混编 Arbela?ez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour Detection and Hierarchical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine