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基于传统特征检测方法的手势识别

简介

基于传统特征检测方法的手势识别。提取了图片的HOG特征并通过SVM进行分类。

如何使用

默认对图片仅进行resize()与cvtColor()预处理，可通过修改PRE_PROCESS_LEVEL来改变预处理流程，值越高所进行的预处理越复杂，效果越差（昏迷）。ENABLE_TRAIN用来设置运行时是否进行训练，0为跳过训练流程，直接读取训练好的模型文件对测试样本进行验证。TRAIN_DATA_SIZE定义用来训练的样本数量。目前此种识别方法对Five和V的识别效果较好，对A的识别效果一般，对C的识别效果较差（只有可怜的20%）。

TODO

  • 修改预处理过程，获取更多特征
  • 通过其他特征来辅助分类（具体可参考注释部分代码以及plot.py）

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