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Local Hypersphere Coding Based on Edges between Visual Words
Weiqiang Ren; Yongzhen Huang; Kaiqi Huang
2012
会议名称ACCV2012
会议录名称Springer Berlin Heidelberg, 2012
页码190-213
会议日期2012
会议地点China
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Local Hypersphere Coding
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12691
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
推荐引用方式
GB/T 7714
Weiqiang Ren,Yongzhen Huang,Kaiqi Huang. Local Hypersphere Coding Based on Edges between Visual Words[C],2012:190-213.
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