搜索资源列表
SIFTtutorial
- 对图像提取相应的特征点,并对特征点进行精简与描述,找到128维的描述子,并与另一幅图像的描述子进行比较,得到图像的匹配-Extract the corresponding feature point of the image, and the feature point streamline with the descr iption, to find 128-dimensional descr iptor, and compares with a descr iption of the ima
surf
- surf特征点以及描述子的提取和匹配,是图像处理中一项重要的作用-Surf feature point extraction and matching as well as descr iptors, in image processing is an important role
F_matlab
- 实现图像边缘的傅里叶描述子,可用于边缘检测,形状分析。-Matlab achieve image edge of the Fourier descr iptors, can be used for edge detection, shape analysis.
Feature-Detectors
- 一篇介绍局部特征描述子的国外文章,局部特征描述子在目标识别与分类中具有重要用途。-A Survey of Local Invariant Feature Detectors
freak_test
- 基于人眼视觉特性的特征描述子 Freak 的测 试源代码,运行环境OPENCV2.4.3.-Test test source code for freak descr iptor based on the characteristics of the human visual system . running environment OPENCV2.4.3.
Hamming-distance
- 计算汉明距离的说明文件,计算二进制特征描述子时需要。-Calculate the Hamming distance file, it can be used to match the binary feature descr iptor .
code
- 用matlab进行图像检索,基于边缘直方图(EHD)描述子,它是MPEG-7标准中提出的一种边缘描述子,它具有描述图像亮度变化的方向和频率的能力。资料为主程序代码。-Matlab for image retrieval, based on the descr iption of the edge histogram (EHD) sub, it is proposed in the MPEG-7 standard descr iptor an edge, it has the direction
SIFT
- SIFT描述子提取,有参考rob hess源码,将SIFT的每个过程的金字塔图像都进行了保存,方便作为示范和学习。-SIFT descr iptor extraction, refer to rob hess source code, save each pyramid image for convenient as a demonstration and learning.
Find-Matched-Points
- 该程序利用MATLAB语言进行图像特征匹配,其中用到Lowe的SIFT描述子算法-The program utilizes the MATLAB language image feature matching, which uses Lowe' s SIFT descr iptors algorithm
SIFT-iamge
- 这是一个SIFT的特征提取程序,我已经试验过,可以找到特征点并且声称特征点描述子。代码结构很清晰,简单易懂,非常适合初学者的学习。-This is a SIFT feature extraction procedures, I' ve been tested, you can find the feature points and claimed that the descr iption of the feature point. Code structure is very clear
360_panorama
- 360-panorama,360度柱面图像拼接,程序在VS2008环境下开发,opencv2.4.3版本,程序可以直接运行,以将所需依赖项添加在文件夹中,源图像放在source_pic中,最后生成结果在result_pic中。 实现步骤:1先将图像投影到柱面坐标上,2提取图像SIFT描述子,3将SIFT描述子配对,4用RANSAC算法根据配对成功的描述子统计出变换矩阵T,5图像拼接。 对于拼接后的图像,没有做进一步细化处理,使用者可以在生成的图像上再做进一步编辑。-360-panoram
corner
- fast快速角点检测算法以及角点检测与傅立叶描述子-fast corner detector and fourier descr iptor
daisy_presentation
- 大牛 E Tola的daisy特征描述子 比sift稠密 是稠密匹配经典之作 速度很快-Daniel E Tola s daisy feature descr iptor dense is dense than sift matching classic fast
poincarePS
- 给定极化状态的相位描述子和幅度描述子,绘制该极化状态的poincare功率球。源代码是matlab子函数,输入参数两个:极化状态的幅度描述子和相位描述子。还有一张示例图-Given the polarization state of the phase and amplitude descr iptors descr iptors, to draw the polarization state poincare power ball. Functions matlab source code,
josTexImgRetr
- 基于纹理谱描述子的图像检索参考书籍,应用于图像检索,与Gabor纹理特征相比较,该纹理谱描述子特征提取速度快,检索准确率高-Spectrum descr iptor based on the texture image retrieval, applied to image retrieval, and Gabor texture features compared to the texture spectrum descr iptor feature extraction speed, hig
LbpDescriptor
- LBP特征描述子提取,用于局部二进制编码,-LBP features, local binary coding
opencvsift
- SIFT 算法提取图像局部特征, 成功应用于物体识别、图像检索等领域。SIFT 算法主要分为四个步骤: 检测尺度空间极值点、精确定位极值点、为每个关键点指定方向参数、关键点描述子的生成。-SIFT algorithm to extract local image features, successfully applied to object recognition, image retrieval and other fields. SIFT algorithm is divided into
matlab
- (1) 读取n副连续有重叠部分的图像,在n副图像中检测SIFT特征,并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点,并根据特征点向量消除误匹配。 (3) 使用RANSAC方法,确定变换参数。 (4) 图像融合 -(1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized us
local_features
- 图像局部不变量特征提取和描述子,pdf文档-Local invariant feature extraction and descr iptor, pdf documents
SIFT
- 提取SIFT特征,进行特征提取和匹配,包括特征点的定位,特征点描述子的生成,特征点的匹配,-extract SIFT feature,and feature matching