搜索资源列表
123
- 亚像素级cvFindCornerSubPix角点检测，可较为精确地对角点进行检测-The subpixel cvFindCornerSubPix corner detection
tuxiangpinjiefa
- 一种全自动稳健的图像拼接融合算 提出了一种全自动稳健的图像拼接融合算法。此算法采用Harris角检测算子进行特征点提取,使提取的 精度达到了亚像素级,然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合,并运用稳健的 RANSAC算法将伪匹配点集合划分为内点和外点,在内点域上运用LM优化算法精确地估计出了图像间的点变 换关系,最后采用颜色插值对交接处进行颜色过渡。整个算法自动完成,它对有较大误差或错误的特征点数据迭代 过滤,并用提纯后的数据来做模型估计 -A ro
calculation
- 文中提出的亚像素级角点检测方法定位精度高，摄像机标定试验中，得到的重影平均偏差小于0.15个像素。-In this paper, sub-pixel corner detection method for high precision positioning, camera calibration test, the average deviation obtained ghosting is less than 0.15 pixels.
Harris
- 两种亚像素级角点检测方法。一种曲面拟合，一种灰度梯度。并可输出坐标，精度较高，main为运行程序。-The two sub-pixels corner detection method. A surface fitting, a gray gradient. And output coordinates, accuracy, main to run the program.
Harris-yaxiangsu-Matlab
- 基于Harris原理的亚像素角点坐标检测Matlab程序；直接运行click_calib .m文件即可获得亚像素级角点坐标，附录Ⅱ中的其它函数文件均会被click_calib .m文件调用。-Based on the principle of subpixel Harris corner coordinates detection Matlab procedures run directly click_calib. M file to obtain sub-pixel corner coor
Subpixel-level-corner-
- 就用利用OPENCV亚像素级角点检测，这个方法对于初学代码程序的人来说很实用-On the use of the use of sub-pixel OPENCV corner detection, this method code program for the beginner who is very practical
17ed64bae600
- 一种Harris角点检测算法，提高角点检测正确率，精确到亚像素级。-One kind of Harris corner detection algorithm to improve corner detection accuracy, accurate to sub-pixel level.
be00bf561f84
- GUI界面的角点检测，很好用，而且精确到亚像素级。-Corner detection GUI interface, easy to use, and accurate to sub-pixel level.
特征检测
- 图像特征提取是计算机视觉和图像处理中的一个概念。它指的是使用计算机提取图像信息，决定每个图像的点是否属于一个图像特征。包括：Harris角点、ShiTomasi角点、亚像素级角点、SURF角点、Star关键点、FAST关键点、Lepetit关键点等等(Image feature extraction is a concept in computer vision and image processing. It refers to using a computer to extract imag
亚像素级角点检测
- 角点通常被定义为两条边的交点，或者说，角点的局部邻域应该具有两个不同区域的不同方向的边界。角点检测(Corner Detection)是计算机视觉系统中获取图像特征的一种方法，广泛应用于运动检测、图像匹配、视频跟踪、三维重建和目标识别等，也可称为特征点检测(Using the edge of the damaged area, i.e. the color and structure of the edge, the information content of the damaged info