Structure-Preserving Binary Representations for RGB-D Action Recognition.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2016)

引用 126|浏览114
暂无评分
摘要
In this paper, we propose a novel binary local representation for RGB-D video data fusion with a structure-preserving projection. Our contribution consists of two aspects. To acquire a general feature for the video data, we convert the problem to describing the gradient fields of RGB and depth information of video sequences. With the local fluxes of the gradient fields, which include the orientati...
更多
查看译文
关键词
Feature extraction,Binary codes,Three-dimensional displays,Video sequences,Shape,Histograms,Manifolds
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