搜索资源列表
ch6_ex6_3
- 透视变换代码 除了3*3矩阵和三个控点变为四个控点外，透视变换在其他方面与仿射变换完全类似-Perspective transformation code in addition to 3* 3 matrix and the three control points into four control points, the perspective transformation in other areas with similar affine transformation complete
bird_eye
- 利用已有的摄像头内外参数，将侧视图通过透视变换转换为俯视图，并保存所得到的单应性矩阵H，内含运行实例-Use of existing internal and external camera parameters, the side view through the perspective transformation into top view, and save the resulting homography matrix H, containing a running instance
perspective
- 透视变换，根据已得到的单应性矩阵H，将摄像头所拍摄的侧视图转换为俯视图，内含运行实例-Perspective transformation, according to what has already been homography H, the camera is filming side view into vertical view, containing a running instance
6-3
- 用opencv写的一个对图片进行透视变换的程序，图片由用户输入路径-Opencv write with the picture of a perspective transformation of the program, pictures, enter the path by the user
OpenCVWarpPerspectiveImage
- OpenCV 透视变换图像校正例子,根据两幅图像对应的四个点求出透视变换矩阵,再对图像做透视变换 WarpPerspectiveImage-OpenCV WarpPerspectiveImage
OPencv
- 使用vc6.0+opencv1.0或vs2010+opencv2.4.1编写的图像透视变换源代码，在vc6.0和vs2010上都能运行-Use vc6.0+opencv1.0 or vs2010+opencv2.4.1 written image perspective transform source code, can be run on vc6.0 and vs2010
Project2
- 通过图片的外参数矩阵对图片进行透视变换，对图片的外参数进行校正-camera calibration
WarpPerspective
- 图像透视变换，是一种基础的图像变换算法,常用于图像配准模型。-Image perspective transformation, is a basic image transformation algorithms used in image registration model
cvwarpaffine
- 代码测试了opencv仿射+透视变换，应用的版本是vs2010+opencv2.4.9.-A project to test the function of affine transform in opencv. The code is work in vs2010&opencv2.4.9
opencv-perspective
- opencv透视变换（四点固定） 使用C++语言编写，实现opencv四点透视变换，亲测可用-opencv perspective
InversePerspectiveMapping
- 对输入的图像帧感兴趣区域进行逆透视投影变换，得到俯视图。-The input of the image frame of interest in the area of the inverse perspective projection transform, get a top view. InversePerspectiveMapping
IPM
- 该算法实现了将一幅图像进行透视变换，并生成鸟瞰图。-The algorithm to achieve the perspective transformation to an image, and generate a bird s-eye view.
imagestitching
- 实现了图像的简单拼接。首先寻找特征点，然后计算描述子（特征向量），对寻找到的特征点进行匹配，并塞选匹配结果，然后计算透视 矩阵，将其中一幅图进行透视变换，然后将图片合成。对一些简单的图片比较有效。仅供参考学习。(Realize the simple stitching of the image. First, find the feature point, and then calculate the descr iptor (eigenvector), match the feature po
2DProjectiveGeometry
- 鼠标操作利用OpenCV实现透视变换，需要使用鼠标点选选择4个边界点(Mouse operation using OpenCV to achieve perspective transformation)