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Histograms-of-Oriented-Gradients
- HOG descr iptors 是应用在计算机视觉和图像处理领域，用于目标检测的特征描述器。-HOG descr iptors are used in computer vision and image processing for target detection feature descr iptor.
LBP
- 本代码为经过优化后的LBP纹理描述子提取代码，非常适合学习该算法的人-After optimization of the code for the LBP texture descr iptor extraction code, the algorithm is very suitable for people to learn
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
CPPdaisy-2.0
- 是一种局部特征描述子，计算速度比SIFT和其他局部特征比较快。-local feature descr iptor
ssdesc-cpp-1.1.1.tar
- 用C++实现的自相似性描述的源代码（matlab包装）用来特征提取特征侦测等。-C++ Implementation (with MATLAB wrapper) of the Self-Similarity Descr iptor by Ken Chatfield based on the paper Matching Local Self-Similarities across Images and Videos, by Eli Shechtman and Michal Irani at CV
HOG 代码.docx
- HOG 方向梯度直方图（Histogram of Oriented Gradient, HOG）特征是一种在计算机视觉和图像处理中用来进行物体检测的特征描述子(The Histogram of Oriented Gradient (HOG) feature is a feature descr iptor used for object detection in computer vision and image processing.)
Locality-constrained Linear Coding for Image Classification
- Locality-constrained Linear Coding (LLC) in place of the VQ coding in traditional SPM. LLC utilizes the locality constraints to project each descr iptor into its local-coordinate system, and the projected coordinates are integrated by max pooling to