Object Categorization Using Local Feature Context
文献类型：会议论文
| 作者 | Tao Sun; Chunjie Zhang ; Jing Liu; Hanqing Lu
|
| 出版日期 | 2013 |
| 会议日期 | January 7-9, 2013 |
| 会议地点 | Huangshan, China |
| 关键词 | Bag Of Visual Words Local Feature Context Sift Object Categorization |
| 英文摘要 | Recently, the use of context has been proven very effective for object categorization. However, most of the researchers only used context information at the visual word level without considering the context information of local features. To tackle this problem, in this paper, we propose a novel object categorization method by considering the local feature context. Given a position in an image, to represent this position’s visual information, we use the local feature on this position as well as other local features based on their distances and angles to this position. The use of local feature context is more discriminative and is also invariant to rotation and scale change. The local feature context can then be combined with the state-of-the-art methods for object categorization. Experimental results on the UIUC-Sports dataset and the Caltech-101 dataset demonstrate the effectiveness of the proposed method. |
| 会议录 | Proceedings, Part II. Lecture Notes in Computer Science 7733
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13446]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 通讯作者 | Jing Liu |
| 推荐引用方式 GB/T 7714 | Tao Sun,Chunjie Zhang,Jing Liu,et al. Object Categorization Using Local Feature Context[C]. 见:. Huangshan, China. January 7-9, 2013. |
入库方式： OAI收割
来源：自动化研究所
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