搜索资源列表
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...
RANSACPharris
- 运用harris提取角点,并通过领域检测获得初始匹配。通过RANSAC算法对初始匹配进行计算,在获得基础矩阵F的同时,获得精确匹配点。-Using Harris to extract corner points and obtain the initial matching through the field detection. The initial matching is calculated by RANSAC algorithm, and the exact matching poin
corners
- 特征检测与匹配是Computer Vision 应用总重要的一部分,这需要寻找图像之间的特征建立对应关系。点,也就是图像中的特殊位置,是很常用的一类特征,点的局部特征也可以叫做“关键特征点”(keypoint feature),或“兴趣点”(interest point),或“角点”(conrner)。Harris角点检测-Feature detection and matching is an important part of the overall application of Compu
Harris-corner-detection
- 图像的harris角点检测,提取图像的角点特征,可用于图像匹配、识别。-Images of the Harris corner detection to extract the image characteristics of angular point.It can be used in image matching and recognition.
Bobby-D-Match
- opencv自写的Horsdorff匹配搜索,融合了角点提取加快搜索速度-OpenCV Horsdorff matching Harris
Documents
- 寻找harris角点 利用ssd匹配角点-finding and matching harris points
harrisdetectmatching
- Harris角点检测和图像匹配算法,有详细的实例及源代码。-Harris corner detection and image matching algorithm, and detailed examples of source code.
sift
- 运用shit算子对图像中的角点进行检测,以便进行特征匹配-Operators using shift image of the corner detection, feature matching
OpenSURF_version1c-(2)
- 图像角点特征提取与匹配:surf特征提取与匹配-Surf feature extraction and matching
harris
- MATLAB基于Harris角点的图像匹配算法-MATLAB-based matching of Harris
siftDemoV4
- sift算法,检测角点,关键点描述,匹配特征点-sift algorithm
harris
- harris角点检测程序,特征点匹配,效果不错-harris corner detection procedures, the feature point matching