Generic feature extraction for image/video analysis

被引：0
|
作者：
Shao, Ling [1 ]
机构：
[1] Philips Res Labs, POB 80000, Eindhoven, Netherlands
来源：
2006 IEEE TENTH INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS, PROCEEDINGS | 2006年
关键词：
feature extraction; salient regions; entropy; repeatability;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a generic algorithm for extracting invariant salient features from images and video sequences. The detected features/regions are invariant under viewpoint variations and illumination changes. Repeatability rate is used for evaluating the invariance of the feature detector. We also apply our feature detector on object recognition experiments. Experimental results show our proposed algorithm is very effective for recognizing objects in images/video with viewpoint changes and background variations.
引用
收藏
页码：115 / +
页数：3
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