搜索资源列表
XML文档的解析
- XML文档的解析包括路劲，节点，及树的特征向量的提取
fasthog lib
- Hand TrackinG for human computer interaction,fasthog作为特征，
sift
- sift是一种特征检测算法，这里的sift算法是用C++实现的。-sift is a feature detection algorithm, where the sift algorithm is implemented using C++.
一种基于mfcc语音特征提取方法
- 一种基于mfcc语音特征提取方法，识别率还可以.rar
haarcascade_eye_2
- cascade for haar-like clasifier
sound_in
- 一个录音的程序，可以显示声波的特征-A recording procedures, can show the characteristics of sound waves
FundamentalsOfMultimedia
- 看完这书，你应该能够： 1确定一个多媒体系统。 2描述的各种数据类型参与了多媒体系统。 3纲要的概念，服务质量。 4描述的重要特征，人类听觉系统。 5描述的重要特征，人类视觉系统。-By the end of book, you should be able to: 1 Identify a multimedia system. 2 Describe the various data types involved in a multimedia system
sift_vc
- SIFT特征提取的实现和演示，VC6.0下实现。-SIFT feature extraction implementation and demonstration, VC6.0 achieve.
FaceDetectON
- 可以从摄像头提取图像进行人脸识别 可以自己建立人的特征库-Can be extracted from the image recognition camera can set up their own human characteristics database
ImgFeatureExtractor
- 提取image特征的c++代码，该段代码将一个图片转化为RGB空间中的pixel点表示。-C++ code for feature selection of image
HCF-basedstatisticalfeaturesMIDIaudiosteganalysis.
- 基于HCF统计特征的MIDI音频隐写分析HCF-based statistical features MIDI audio steganalysis-HCF-based statistical features MIDI audio steganalysis
ISO-IEC-15938-4-Audio.doc
- mpeg 7标准中关于音频的部分。包括各种特征描述子的定义和分类方法。-mpeg 7 audio standard on the part. Feature descr iptor including the definition and classification.
wave2mfcc
- 一个非常好的说话人识别特征提取程序，直接对wav文件操作，提取mfcc语音特征值，通过调试-A very good speaker recognition feature extraction process, directly on the wav file, the extraction mfcc voice eigenvalue, through the debugger
gmm_estimate
- gmm模型训练程序，说话人识别系统中基于GMM的说话人识别方法中，对特征参数进行模型训练的函数-gmm model training program, speech recognition system GMM speaker recognition method based on the characteristic parameters of the model training function
LVQ
- lvq神经网络实现对火焰的特征提取和训练，具有比bo网络更好的效果-lvq neural network feature extraction and training of the flame, with the effect of than bo network better
Extract-Feature-for-BitMap
- 提取位图的特征，包括projection features；peripheral features；cross count features；图像识别的预处理步骤，用C++实现。-The extraction characteristics of the bitmap, including Projection Features Peripheral Features Cross count features the image recognition pretreatment step,
VideoCapture(04.5.31)
- 人脸识别，特征定位，几何特征匹配,关键点的定位-face recognition， feature locate，featur natch
face-recognition
- 人脸识别，特征分割，特征点定位，欧式距离，模式匹配-face recognition，feature capture，feature match
pics_match
- 用于图像拷贝检测的图像匹配，提取图像的SIFT特征点，构成图像的特征。-For image copy detection of image matching, image SIFT feature point extraction, and then sift feature point the image characteristics
edgelet
- 只有一个文件edgelet.cpp，小边特征。无法直接用，只能自己先看懂，然后照着重新写-edgelet feature described by c++。