Model-based work-piece localization with salient feature selection
文献类型：会议论文
| 作者 | Zhu, Wenjun ; Qin, Zhengke; Wang, Peng; Qiao, Hong
|
| 出版日期 | 2013-12 |
| 会议日期 | 12-14 Dec. 2013 |
| 会议地点 | Shenzhen, China |
| 英文摘要 |
This paper presents a model-based work-piece localization method with salient feature selection. Model-based localization is suitable for work-piece which is one kind of the typical 3D rigid objects with less texture. However, localization based on 3D model will cause high failure rate in heavily cluttered scenes. We propose a new model-based localization method, which is integrated with salient feature selection. Two different models: 3D model and training images are used, and the salient feature selection procedure extracts the regions which may contain the objects potentially. Experiments demonstrate the effectiveness of the proposed method. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14767]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | Institute of Automaton, Chinese Academy of Science |
| 推荐引用方式 GB/T 7714 | Zhu, Wenjun,Qin, Zhengke,Wang, Peng,et al. Model-based work-piece localization with salient feature selection[C]. 见:. Shenzhen, China. 12-14 Dec. 2013. |
入库方式： OAI收割
来源：自动化研究所
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