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Description: AutoUpdate是一款先进的升级软件工具，通过全球开发者都使用的各式各样编写程序的语言，从C++到Delphi和.NET以及VB6，在5分钟内轻松的自动对你的程序加入更新和升级功能。
汉化这个软件有一段时间了，因为资源大部分是UNICODE码，一些资源提取工具无法完全提取，所有只得手工汉化。因为时间仓促，没有仔细测试，有问题可以本站留言给我，我进一步进行汉化修改和调整。-AutoUpdate is a sophisticated software tools to upgrade, through a global development are used in a wide variety of programming languages, from C++ to Delphi and. NET and VB6, within 5 minutes easy process for you automatically join the update and upgrade function. Speaking of the software for some time, because the bulk of the resources is the UNICODE code, a number of resource extraction tool can not be completely extracted, all but finished by hand. Because of the short notice, without careful testing, a problem can be addressed to the site message me and I finished further modifications and adjustments.
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Author: xuxiake |
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Description: 第一部分 从网页上精确提取数据
本部分的实例是：下载沪深两市全部约1100家个股的基本信息及财务数据。若用手工操作，如上图所示，需要在股票代码区内分别输入1100个股票代码，在下拉式列表（ComboBox）中分别选择“个股资料”和“财务数据解读”，算下来约是2200次操作！这样的工作当然是由程序来完成划算得多。况且手工提取数据（先选中、再使用Ctrl+C拷贝）极容易出错（多选或漏选），又很费眼神。-The first part from a web page to extract data accurately
Examples of this section is: download the Shanghai and Shenzhen stock 1100 all about the basic information and financial data. If by hand, the above chart, ticker symbol in the region need to enter the stock code 1100, in the drop-down list (ComboBox), respectively, select "Stock Information" and "Interpretation of financial data,"about 2200 operations ! This, of course, is much more cost-effective process to complete. Moreover, manual extraction of data (first selected, and then use Ctrl+ C copy) very easy to make mistakes (or omitted to choose the election), charge very eyes.
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Author: 您的姓名 |
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Description: hand recognition based on simple extraction
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Author: akshit |
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Description: The matlab code contains feature extraction of Hand goemetry in biometrics
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Author: killer |
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Description: Head Rotation Estimation Algorithm for Hand-Free Computer Interaction by Rafał Kozik-In the article robust method of hands-free interaction with computer is proposed and tested. There are showed the results of algorithms based on optical flow and rapid face detection.
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Author: Ng Jack |
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Description: 基于VC的各种聚类和分类算法程序。
手写数字或者打开已有的手写数字图像后，在右视图空白处，单击鼠标左键，激活右视图，选择菜单中的各种分类算法，可以对手写数字进行分类。有模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器。
在左视图上单击鼠标左键，可获得3种数据源：标准数字聚类、手画图形聚类、位图文件分析聚类。可以进行特征提取、模糊聚类和遗传算法。-VC-based clustering and classification algorithm for a variety of procedures. Handwritten numbers or open an existing handwritten digital images, the empty space in the right view, click the left mouse button to activate the right view, select the menu, the various classification algorithms can be handwritten digits classification. There template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifier. In the left view, click the left mouse button, access to three kinds of data sources: a standard digital cluster, hand-painted graphics clustering, clustering analysis of bitmap file. Can feature extraction, fuzzy clustering and genetic algorithm.
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Size: 3179520 |
Author: ft5272633 |
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Description: 特征提取，人的手的动作等，对这些数据进行捕捉，提取-Feature extraction, human hand movements, etc., these data capture, extraction
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Author: 熊建林 |
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Description: 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和Ekman“面部表情图片”数据库上的实验，证实
了所提方法的有效性。-Proposed based on feature fusion and fuzzy kernel discriminant analysis (FKDA) facial expression recognition. First, face images of each piece of hand-set
Bit 34 basis points, as the geometric features of facial expression images, while using Gabor wavelet transform method to transform the images of each piece of expression, and extraction-based
Quasi-point of the Gabor wavelet coefficients, as Gabor features of facial expression image second, using canonical correlation analysis on the geometric features and Gabor features into
Line feature fusion, as expression recognition of input features then, using fuzzy kernel discriminant analysis method to extract and further identification features of expression Finally, the most
Neighbor classifier to complete expression of the classification. International expression by JAFFE database and Ekman "facial image" database on the experiment, confirmed
The proposed method.
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Author: MJ |
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Description: 手形识别中采用肤色分割的算法，进行手形区域的提取，输出手形区域。-Hand-shape recognition algorithm using color segmentation, hand-shaped region extraction, hand-shaped area of the output
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Size: 1024 |
Author: liyan |
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Description: 本聚类程序界面主要是两部分，左视图可以激活标准数字聚类，手画图形聚类，位图文件分析聚类。右视图选择菜单获得模式特征，进行特征提取后，选择各种算法进行聚类分析。-The clustering program interface is mainly of two parts, the left view can activate standard digital cluster, hand-painted graphics cluster, bitmap file of clustering. Right View Selection menu access mode features, feature extraction, the choice of cluster analysis algorithms.
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Author: 方周 |
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Description: 手背静脉提取
手背静脉的分割，提取，二值化后进行区域生长-Extraction of dorsal hand vein vein segmentation, extraction, after the binary region growing
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Size: 3039232 |
Author: zj66 |
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Description: 实验室用的人手图片，可以用来进行特征提取和手势识别，size较小-the hand gesture image,can be used in feature extraction and recognition.
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Author: xutao |
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Description: 完整的可运行AAM模型的matlab代码，附有测试图像，matlab 2009测试通过-Complete AAM model can run matlab code, with a test image, matlab 2009 test pass
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Author: 龙龙 |
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Description: 手势皮肤模型提取，手势分割，提取已修改过，能运行-Gestures skin model to extract the gesture segmentation, extraction has been modified to run
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Author: zhangmeng |
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Description: 采用OpenCv写的手势提取代码，采用肤色原理，可准确的检测提取手部。-Gestures OpenCv write extraction code, the color principle, can accurately detect the extraction of hand.
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Author: jiutianfeixue |
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Description: hand vein feature extraction
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Size: 637952 |
Author: lolo |
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Description: 出了一种基于提取字母手势的统计特征的方法，计算各手势图像的几何矩，以形成特征空间，并将之应用到手势识别中去。该算法
具有旋转、缩放、及平移不变性的特点，并取得了较好的实验效果。-his paper gives amethod based on moment invariants which remain constant when the image rotates，transfers and scales．The method is
applied in the extraction ofgesture features and gains 900d experiment result．
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Author: 赵健 |
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Description: 道路场景识别，通过对样本图像处理和特征提取，再通过bp神经网络进行学习，最后通过学习后得到的权值进行样本识别。-Road scene recognition, through the sample image processing and feature extraction, and then through bp neural network learning, and finally by learning the weights obtained after the sample identification.
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Author: 江志浩 |
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Description: ，提出了逆序解析DOM树算法。并结合【)【)M树相似理论和传统的顺序解析算法，从部分目标信息开始
分别向后顺序和向前逆序解析IX)M树。同时定位并获取其他目标信息。利用该方法提取网页正文信息，一方面只需
解析部分19()M树，从而减少了解析树结构花费的时闯。另一方面不需要遍历整个IX)M树查找目标信息，从而节省了
查找时间，大大提高了信息提取速度。最后，通过实验证实了该方法的优越性。-Proposed reverse parse DOM tree algorithm. Combined with [) [) M tree sequence similarity theory and traditional analytic algorithms, part of the target information the beginning
Backward and forward, respectively, in reverse order of parsing IX) M tree. Meanwhile locate and obtain additional target information. Using this method to extract text information page, on the one hand only
Analysis section 19 () M tree, thus reducing the time it takes to break the parse tree structure. On the other hand does not need to traverse the entire IX) M tree to find the target information, thus saving
Seek time, greatly improving the speed of information extraction. Finally, the experiment proved the superiority of this method.
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Author: 吴为 |
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Description: Pattern recognition and Gesture recognition are the growing fields of research. Being a significant part in non verbal communication hand gestures are playing vital role in our daily life. Hand Gesture recognition system provides us an innovative,
natural, user friendly way of interaction with the computer which is more familiar to the human beings.
Its main steps are discussed in the following:
Image Segmentation
Orientation Detection
Features extraction
Thumb detection:
Finger region detection:
Euclidean distance:
Classification and bits generation
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Author: ahmed |
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