6D Object Pose Estimation in Cluttered Scenes from RGB Images | |
Yang, Xiao-Long1,2; Jia, Xiao-Hong1,2; Liang, Yuan3; Fan, Lu-Bin3 | |
刊名 | JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY |
2022-06-01 | |
卷号 | 37期号:3页码:719-730 |
关键词 | two-stream network 6D pose estimation fusion feature |
ISSN号 | 1000-9000 |
DOI | 10.1007/s11390-021-1311-2 |
英文摘要 | We propose a feature-fusion network for pose estimation directly from RGB images without any depth information in this study. First, we introduce a two-stream architecture consisting of segmentation and regression streams. The segmentation stream processes the spatial embedding features and obtains the corresponding image crop. These features are further coupled with the image crop in the fusion network. Second, we use an efficient perspective-n-point (E-PnP) algorithm in the regression stream to extract robust spatial features between 3D and 2D keypoints. Finally, we perform iterative refinement with an end-to-end mechanism to improve the estimation performance. We conduct experiments on two public datasets of YCB-Video and the challenging Occluded-LineMOD. The results show that our method outperforms state-of-the-art approaches in both the speed and the accuracy. |
资助项目 | National Key Research and Development Program of China[2021YFB1715900] ; National Natural Science Foundation of China[12022117] ; National Natural Science Foundation of China[61802406] ; Beijing Natural Science Foundation[Z190004] ; Beijing Advanced Discipline Fund[115200S001] ; Alibaba Group through Alibaba Innovative Research Program |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | SCIENCE PRESS |
WOS记录号 | WOS:000812520400016 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/61238] |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Jia, Xiao-Hong |
作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Alibaba Grp, Alibaba DAMO Acad, Hangzhou 311121, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Xiao-Long,Jia, Xiao-Hong,Liang, Yuan,et al. 6D Object Pose Estimation in Cluttered Scenes from RGB Images[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2022,37(3):719-730. |
APA | Yang, Xiao-Long,Jia, Xiao-Hong,Liang, Yuan,&Fan, Lu-Bin.(2022).6D Object Pose Estimation in Cluttered Scenes from RGB Images.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,37(3),719-730. |
MLA | Yang, Xiao-Long,et al."6D Object Pose Estimation in Cluttered Scenes from RGB Images".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 37.3(2022):719-730. |
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