Local Hypersphere Coding Based on Edges between Visual Words

CASIA OpenIR > 智能感知与计算研究中心

	Local Hypersphere Coding Based on Edges between Visual Words
	Ren, Weiqiang; Huang, Yongzhen; Zhao, Xin; Huang, Kaiqi; Tan, Tieniu; Kaiqi Huang
	2012
会议名称	ACCV 2012
会议录名称	Springer Berlin Heidelberg, 2012
会议日期	2012
会议地点	Korea
摘要	Local feature coding has drawn much attention in recent years. Many excellent coding algorithms have been proposed to improve the bag-of-words model. This paper proposes a new local feature coding method called local hypersphere coding (LHC) which possesses two distinctive differences from traditional coding methods. Firstly, we describe local features by the edges between visual words. Secondly, the reconstruction center is moved from the origin to the nearest visual word, thus feature coding is performed on the hypersphere of feature space. We evaluate our coding method on several benchmark datasets for image classification. The experimental results of the proposed method outperform several state-of-the-art coding methods, indicating the effectiveness of our method.
关键词	None
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12731
专题	智能感知与计算研究中心
通讯作者	Kaiqi Huang
作者单位	中国科学院自动化研究所
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Ren, Weiqiang,Huang, Yongzhen,Zhao, Xin,et al. Local Hypersphere Coding Based on Edges between Visual Words[C],2012.