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harris.m
- 立体视觉的关键技术是解决对应问题，点特征常被用来做特征。HARRIS角点检测算子较有影响。用MATLAB编写的。-stereo vision technology is the key to solve the matching problem, point feature often used to do features. HARRIS corner detection operator more influential. MATLAB prepared.
SIFT_VC
- 基于SIFT的双目立体视觉匹配的代码，可实现两幅图片的立体匹配。-SIFT-based binocular stereo vision matching code, enabling two-dimensional image matching.
StudyonStereoVision-basedCross-countryObstacleDete
- 本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a n
Image
- 博士论文：图像特征提取、匹配和新视点图像生成技术研究 关键词：基于图像的绘制；虚拟现实；新视点图像生成；宽基线图像匹配；仿射不变量 直线段匹配；立体视觉-Dissertation: Image feature extraction, matching and the new viewpoint image generation technology Keywords: image-based rendering virtual reality new viewpoint image
machine_version
- SIFT算法小结.doc Snake算法用于图像分割.doc 一种立体视觉系统的研发项目申报书.doc 颜色纹理识别.doc 运动目标的稳健匹配系统.doc -Summary SIFT algorithm. Doc Snake algorithm for image segmentation. Doc a stereo vision system returns R & D projects. Doc color texture recognition. Doc ro
sift
- matlab编写，影像匹配，快速获得立体影像的同名像点-matlab written, image matching, quickly access to images of the Conjugate points of stereo images
points
- 一种用于数字遥感影像立体像对间特征点匹配的源代码。-A stereo for the digital remote sensing image matching of feature points between the source code.
map
- 双目视觉的深度图立体匹配算法改进Binocular stereo vision matching algorithm to improve the depth map-Binocular stereo vision matching algorithm to improve the depth map
opencv
- opencv 实现双目立体视觉的标定，图像特征匹配，测距工能。-opencv calibration to achieve binocular stereo vision, image feature matching, distance work can be.
GUI
- 双目立体视觉，进行特征点提取匹配，对三维立体重建有帮助-Binocular stereo vision, for extraction of feature points matching, helpful for three dimensional reconstruction
OpenCV3Dreconstruct-
- OpenCV的图像匹配程序，该程序实现了立体视觉的匹配，得到了精确地视差图。-OpenCV image matching program, this application implements the matching of the stereo vision, get the precise parallax figure
match
- 用mtlab实现的立体视觉匹配，可以得到精确的视差图。-Mtlab is now with the stereo vision of matching, can get accurate parallax figure
Robot(OpenNIPKinect)
- 我们把Kinect相机作为3D测量设备来分析，试验性的研究深度测量分辨率和错误属性，并将Kinect与SLP相机和一个3D-TOF相机就立体重建的准确性做定量比较。我们提出了Kinect几何模型、Kinect相机的标定步骤和Kinect 3D测量的准确标定流程。我们展示了Kinect标定的功能-通过将它融入到一条SfM Pipeline中，在这里从动态的Kinect相机获得的3D测量数据通过计算彩色相机中与之相匹配的位姿被变换到普通坐标系。 -We put the Kinect came
quyuchoumi
- 基于区域稠密匹配算法，可以使用于双目立体视觉系统，重构三维特征。-Dense matching algorithm based on region, you can use binocular stereo vision system to reconstruct the three-dimensional features.
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 rectification of the stereo image pairs o
3DVideoDepthGenerate
- 用opencv写的双目立体视频深度图生成，基于韦伯感知初始化匹配代价、SAD代价聚合、 快速视差选择，实现深度视频-Binocular stereo video opencv write depth map generation, based on Weber perception initialization matching cost, SAD consideration polymerization, fast parallax select, depth video
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 epipolar rectification of the ster
POC.tar.gz
- Phase of Correlation (POC). 在图像匹配上，需要寻找left image和right image的特征值，并将它们匹配起来,Phase of Correlation (POC) is used in image matching. POC can be used to find the matched feature points in left and right image for stereo cameras.
CV4
- 立体视觉相关的程序，这部分需要先了解图像和摄像机之间的对立关系，并对极线几何比较了解，先把原理熟悉了以后，具体到编程上就会轻松一点，整体还是比较耗时的。具体来说，程序使用SSD得到匹配点，然后根据匹配点计算出基本矩阵，最后计算出匹配点相关的极线-Stereo vision procedure, this part of the need to understand the antagonistic relationship between the image and the camera, an
GCS
- Fast matching for binocular stereo via growing in disparity space