Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection

CoRR(2011)

引用 23|浏览7
暂无评分
摘要
We propose a new feature extraction method based on two dynamical systems induced by intensity landscape: the negative gradient system and the Hamiltonian system. We build features based on the Hamiltonian streamlines. These features contain nice global topological information about the intensity landscape, and can be used for object detection. We show that for training images of same size, our feature space is much smaller than that generated by Haar-like features. The training time is extremely short, and detection speed and accuracy is similar to Haar-like feature based classifiers.
更多
查看译文
关键词
pattern recognition,feature space,dynamic system,feature extraction,face detection,hamiltonian system
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要