Grasp type understanding - classification, localization and clustering
文献类型：会议论文
| 作者 | Li, Yinlin ; Zhang, Yuren; Qiao, Hong; Chen, Ken; Xi, Xuanyang; Li, YL; Li, YL
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| 出版日期 | 2016 |
| 会议名称 | 12th World Congress on Intelligent Control and Automation (WCICA) |
| 会议日期 | JUN 12-15, 2016 |
| 会议地点 | Guilin, PEOPLES R CHINA |
| 关键词 | OBJECTS HANDS |
| 通讯作者 | Li, YL |
| 英文摘要 | Prehensile analysis is a research field attracting multi-disciplinary interests, including computer science, mechanology and neuroscience. For robot, grasp type recognition provides critical information for human-robot interaction and robot self-learning. One of the research direction is to discover the common modes of human hand use with first-person point-of-view wearable cameras. In contrast to previous methods based on handcraft features and multi-stage pipeline, we use a convolutional neural network to learn discriminative features of grasp types automatically, which can also achieve grasptype localization and classification simultaneously in a single-stage pipeline. Furthermore, a clusteringmethod is also proposed to find the hierarchical relationships between different grasp types. Experiments are conducted on UT Grasp dataset and Yale human grasping dataset. The proposed method shows better accuracy and higher efficiency than traditional methods. |
| 会议录 | PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA)
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| 学科主题 | Automation & Control Systems ; Engineering, Electrical & Electronic |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12825]  |
| 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 |
| 通讯作者 | Li, YL; Li, YL |
| 推荐引用方式 GB/T 7714 | Li, Yinlin,Zhang, Yuren,Qiao, Hong,et al. Grasp type understanding - classification, localization and clustering[C]. 见:12th World Congress on Intelligent Control and Automation (WCICA). Guilin, PEOPLES R CHINA. JUN 12-15, 2016. |
入库方式： OAI收割
来源：自动化研究所
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