Active Object Recognition Based on Prior Feature Distribution Table
文献类型:会议论文
作者 | Sun HB(孙海波)1,3,4; Zhu F(朱枫)1,4![]() ![]() ![]() ![]() |
出版日期 | 2020 |
会议日期 | November 27-28, 2020 |
会议地点 | Harbin, China |
关键词 | Active object recognition Prior feature distribution table Feature decision tree Next best viewpoint |
页码 | 1012-1017 |
英文摘要 | In this paper, an active object recognition (AOR) method based on a prior feature distribution table (PFDT) is proposed. According to the distribution information of predetermined features on each object in the model base, the prior feature distribution table is created. Taking it as input, a feature decision tree (FDT) is constructed for object recognition and viewpoint planning (VP). To determine the next best viewpoint, we transform it into an optimization problem that is solved with the tree dynamic programming algorithm. Experiments show that the proposed method can achieve the object recognition task with the minimum average number of viewpoints. |
产权排序 | 1 |
会议录 | 2020 3rd International Conference on Unmanned Systems (ICUS)
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会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-7281-8025-0 |
WOS记录号 | WOS:000648775600176 |
源URL | [http://ir.sia.cn/handle/173321/27999] ![]() |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
通讯作者 | Sun HB(孙海波) |
作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 2.University of Chinese Academy of Sciences, Shenyang, China 3.Northeastern University, Shenyang, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China |
推荐引用方式 GB/T 7714 | Sun HB,Zhu F,Hao YM,et al. Active Object Recognition Based on Prior Feature Distribution Table[C]. 见:. Harbin, China. November 27-28, 2020. |
入库方式: OAI收割
来源:沈阳自动化研究所
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