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Fusiello_epipolarrectification
- 对立体视觉的双目图像进行极线校正,以实现双目致密匹配
Fusiello_epipolarrectification
- 对立体视觉的双目图像进行极线校正,以实现双目致密匹配-Of three-dimensional visual image of the binocular epipolar rectification to realize dense binocular matching
StereoImage1.0
- 这是我用Delphi和Matlab写的一个程序,可以生成立体图像(3DS Max 脚本)、将平面图像立体化、基本矩阵计算、极线校正。作者保留所有权利。请勿用于商业用途。欢迎大家对它进行完善。-This is what I use Delphi and a program written in Matlab, can generate three-dimensional images (3DS Max scr ipt), will be
Fusiello_epipolarcode
- Fusiello的极线校正程序 可以对图像进行极线的校正-epipolar code
Rectification_epipolar
- hartley弱相机标定的立体像对极线校正。输入是立体像对对应的匹配点,输出是已经校正好的图像 这里对图像的角度有要求,如果拍摄角度太大 可能校正不了 而且匹配点对的精确性也有要求,建议最好经过错误点剔除之后的匹配点作为输入-epipolar rectification
RectifKitE
- 用于对图像极线校正的matlab代码 基于Tutorial on Rectification of Stereo Images-matlab code for epipolar rectification
FRectifKitEo
- 用于对图像极线校正的matlab代码 基于Tutorial -Matlab code for image epipolar rectification-based Tutorial
Image-rectification_surf
- 用于双目立体图像匹配:用surf提取特征点、Flann匹配、RANSAC计算基本矩阵完成立体图像对的极线校正,用opencv实现-For binocular stereo image matching feature extraction point: surf, Flann matching, RANSAC calculation of the completion of the fundamental matrix the epip
3Dimage_rectification
- 用于立体图像矫正:Harries角点、NCC匹配、RANSAC计算基本矩阵完成立体图像对的极线校正,自己书写的opencv函数-For three-dimensional image correction: Harries corner NCC matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectificati
rectification_transf
- 对两幅图像提取特征点,并计算基本矩阵,对两幅图像进行极线矫正,并画出校正后图像特征点的极线,效果非常好-The two images of the image feature points in the feature points are extracted, and the calculated fundamental matrix, correction of lines of the two images, and after
epipolar-rectification
- 用OpenCV编的对图像进行极线校正的程序,先对图像进行匹配,然后求出基础矩阵,最后对图像进行极线校正-matching, fundametal matric and epipolar recitification
StereoVision-master
- 双目相机的三维重建程序,包含两个相机的标定,极线校正,图像匹配,三维重建-Binocular camera reconstruction program, including calibration of the two cameras, pole line correction, image matching, 3D reconstruction
000siftDemo
- 双目视觉 图像匹配 sift特征提取与匹配 极线校正(Binocular vision image matching sift feature extraction and matching polar line correction)