Knowledge Commons of Institute of Automation,CAS
Estimation of 3-D Pose with 2-D Vision based on Shape Matching Method | |
Bin Chen1,2; Jianhua Su1; Kun Lv3 | |
2018 | |
会议名称 | International Conference on Neural Information Processing |
会议日期 | 2018-12-14 |
会议地点 | Siem Reap, Cambodia |
摘要 | Pose estimation is an important step in the grasping of workpieces. However, most previous works aim to use the 3D vision system to locate the 3D pose of the object. This paper develops a pose estimation of 3D object with 2D vision system. The proposed method includes two steps: (a) a hierarchy model of 2D views of the object is firstly constructed off-line; (b) the pose of object is then estimated by measuring the similarity of the model and target image. The proposed method is inherently robust against noise and illumination changes, and also efficient in real applications. |
关键词 | 3D object recognition,Shape context,Similarity measure |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/21709 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 复杂系统管理与控制国家重点实验室 |
通讯作者 | Jianhua Su |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院大学 3.China International Engineering Consulting Corporation |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Bin Chen,Jianhua Su,Kun Lv. Estimation of 3-D Pose with 2-D Vision based on Shape Matching Method[C],2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Chen2018_Chapter_Est(2468KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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