Description: 用于手势跟踪的c代码，可以用于智能人机交互、手语识别、理解等-gestures for tracking the c code, which can be used intelligent human-computer interaction, sign language recognition, understanding, etc. Platform: |
Size: 435200 |
Author:薛斌 |
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Description: 在c平台下实现的手势分割和识别程序，需要opencv开源函数库。-Implemented in the c platform gesture segmentation and recognition process, which takes opencv open source libraries. Platform: |
Size: 4096 |
Author:谢彧 |
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Description: 在c平台下实现的手势分割和识别程序，需要opencv开源函数库。-Implemented in the c platform gesture segmentation and recognition process, which takes opencv open source libraries. Platform: |
Size: 202752 |
Author:谢彧 |
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Description: 在c平台下实现的手势分割和识别程序，需要opencv开源函数库。-Implemented in the c platform gesture segmentation and recognition process, which takes opencv open source libraries. Platform: |
Size: 435200 |
Author:谢彧 |
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Description: 以c++和opencv为工具，通过摄像头捕捉到肤色区域，并跟踪，实现手势识别-In c++ and opencv as a tool, through the camera to capture color region and tracking, gesture recognition Platform: |
Size: 1603584 |
Author:辛帅 |
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Description: 手势识别,基于openVC开发的手势识别程序，用c++开发-Gesture Recognition。Based openCV developed gesture recognition program
With c++ development Platform: |
Size: 3418112 |
Author:张简 |
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Description: 基于matlab开发的手势识别,里面有测试代码和图片 还有一个可以运行的.fig文件,可以直接运行的.并且同时分享了matlab的源码,效果很不错,可以学习和参考.相比C++开发的要简单易懂，可以通过代码了解手势识别的方法和原理，可以先学习matlab版的手势识别，再尝试编写C++和opencv版的。(Gesture recognition based on MATLAB development, there are test code and pictures and one can run the.Fig file, can be directly run. And at the same time sharing matlab source code, the effect is very good, you can learn and reference. Compared to the development of C++ is simple and easy to understand, can understand the principle and method of gesture recognition through the code, gesture recognition can learn the matlab version, and then try to write C++ and opencv version.) Platform: |
Size: 74752 |
Author:xiaojj
|
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Description: 基于深度相机的手势识别，利用深度信息设置包围盒分割手，然后使用SVM分类器对训练数据集进行训练。在静态手势测试时，我们先计算测试图像的HOG特征，然后经SVM分类得到测试结果(Based on the gesture recognition of the depth camera, the depth information is used to set the bounding box to divide the hand, and then the training data set is trained by using the SVM classifier. In the static gesture test, we first calculate the HOG features of the test image and then get the test results by the SVM classification) Platform: |
Size: 4458496 |
Author:程序员飞宇 |
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Search - opencv，手势识别，c\\c