التفاصيل البيبلوغرافية
| العنوان: |
Active Object Recognition Based on Prior Feature Distribution Table |
| المؤلفون: |
Sun HB(孙海波), Zhu F(朱枫), Hao YM(郝颖明), Fu SF(付双飞), Kong YZ(孔研自), Xu CL(徐成龙) |
| بيانات النشر: |
IEEE |
| سنة النشر: |
2020 |
| المجموعة: |
Shenyang Institute Of Automation ,Chinese Academy Of Sciences: SIA OpenIR / 中国科学院沈阳自动化研究所机构知识库 |
| مصطلحات موضوعية: |
Active object recognition, Prior feature distribution table, Feature decision tree, Next best viewpoint |
| الوصف: |
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. |
| نوع الوثيقة: |
other/unknown material |
| اللغة: |
English |
| Relation: |
2020 3rd International Conference on Unmanned Systems (ICUS); http://ir.sia.cn/handle/173321/27999 |
| الاتاحة: |
http://ir.sia.cn/handle/173321/27999 |
| Rights: |
cn.org.cspace.api.content.CopyrightPolicy@7508048c |
| رقم الانضمام: |
edsbas.E512E635 |
| قاعدة البيانات: |
BASE |