搜索资源列表
Harris
- 基于harris角点的特征匹配，详细的阐述了其中的原理，以及实现方法。-Feature-based matching harris corner, which describes in detail the principles and implementation methods.
harrismatch
- 该程序采用harris角点检测，使用ncc进行初匹配，双向重复搜索后得到特征匹配点。-The program uses harris corner detection, using ncc conducted early match, after a two-way repeated search feature to get the matching point.
Detecting_corners
- 使用OpenCV函数cornerSubPix实现角点精确匹配-Use the OpenCV function cornerSubPix to find more exact corner positions (more exact than integer pixels)
Code
- 用于数字图像处理，包含Harris算法用于角点检测，图形金字塔，以及图像匹配。-For digital image processing, including the Harris corner detection algorithm is used, the graphics of the pyramid, and image matching.
harris--vcPP
- 很好的角点检测代码，使用的是Harris算法，为图像匹配提供了和好的基础-Good corner detection code
orb
- opencv + visual stdio. orb角点检测和匹配，希望对大家有帮助。-opencv+ visual stdio. orb Corner detection and matching, I hope this is help for you.
MatlabCode
- matlab实现的图像角点检测，即特征提取，实现角点之间的匹配-image corner detection matlab to achieve, namely, feature extraction, matching angle between the points to achieve
shuzisheyingceliang
- 角点特征提取，及图像灰度匹配 moravec算子 susan算子 5种灰度匹配 数字摄影测量-Monitoring digital photogrammetry corner matching gray
registration
- 先用SUSAN算法对两幅图像进行角点检测，然后用NCC算法进行粗匹配，最后用RANSAC算法进行精确匹配-SUSAN algorithm first with two images on corner detection and coarse matching algorithm with NCC, and finally with RANSAC algorithm for exact match
demo_ASIFT_src0
- 这是比较新的一种角点提取和实现匹配算法，里面有ASIFT论文和实现程序，比sift算法实现起来要快和准确。-This is a relatively new one corner extraction and matching algorithm, which has ASIFT papers and implementation procedures, compared with the SIFT algorithm，it ismore fast and accurate.
ImageCompare
- 进行图像对比，采用提取特征点Harris角点的方式来匹配拍摄角度不一样的图片，可以完成图片的融合、拼接以及识别工作。-To compare the difference of the images via harris detector
B.Lucas
- 这是KLT算法论文的高清版。Kanade-Lucas-Tomasi方法，在跟踪方面表现的也不错，尤其在实时计算速度上，用它来得到的，是很多点的轨迹“trajectory”，并且还有一些发生了漂移的点，所以，得到跟踪点之后要进行一些后期的处理，说到Kanade-Lucas-Tomasi方法，首先要追溯到Kanade-Lucas两人在上世纪80年代发表的paper：An Iterative Image Registration Technique with an Application to Ste
all
- harris角点检测匹配处理实验有完整的ncc和ransac后续处理，确定可用，简单方便的测试程序。-harris corner detection experiments have a complete matching process ncc and ransac subsequent processing to determine the usable, simple testing procedures.
License-plate-location
- 基于opencv的车牌定位程序，检测边缘角点，匹配出最可能的区域 -The optical flow method based on target detection program delivery, real-time display of object trajectory
DetectMTInDB
- vs2010下两张图片之间、进行sift匹配，角点LK金字塔光流跟踪，surf匹配。有绘制特征点主方向和辅助方向。具体仔细看代码。-vs2010 down between two pictures, make sift matching corner pyramid LK optical flow tracking, surf match. Have drawn the main direction of the feature points and the auxiliary directio
3D-Reconstruction.
- 择了一种速度、特征点数量和精度都比较好的组合方案：FAST角点检测算法+sift特征描述子+FLANN(Fast Library for Approximate Nearest Neighbors) 匹配算法。-Choose a speed and precision of the number of feature points are relatively good combination scheme: FAST corner detection algorithm+sift featur
opencvharris
- 自己写的使用opencv对图像进行harris角点特征提取，可用于特征匹配-Use the image opencv harris corner detection, feature matching can be used
image-mosaic.doc
- 图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
SIFT--VC
- Sift 角点检测，适用于图像特征的匹配，在VC6.0中调试通过.-Sift corner detection, apply to the image feature matching, in VC6.0 debugging through.
harris_jiaodianjiance
- 一个简单实现角点检测的代码，附有图片，可用于匹配-A simple implementation of corner detection code, with pictures, can be used for matching...