咨询与建议

限定检索结果

文献类型

  • 26 篇 期刊文献
  • 18 篇 会议
  • 1 篇 学位论文

馆藏范围

  • 45 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 43 篇 工学
    • 25 篇 计算机科学与技术...
    • 16 篇 电气工程
    • 11 篇 控制科学与工程
    • 9 篇 软件工程
    • 5 篇 机械工程
    • 2 篇 仪器科学与技术
    • 2 篇 信息与通信工程
    • 1 篇 材料科学与工程(可...
    • 1 篇 动力工程及工程热...
    • 1 篇 电子科学与技术(可...
    • 1 篇 测绘科学与技术
    • 1 篇 化学工程与技术
    • 1 篇 航空宇航科学与技...
    • 1 篇 网络空间安全
  • 9 篇 医学
    • 9 篇 临床医学
    • 1 篇 基础医学(可授医学...
    • 1 篇 特种医学
    • 1 篇 医学技术(可授医学...
  • 7 篇 理学
    • 5 篇 物理学
    • 2 篇 化学
    • 1 篇 数学
    • 1 篇 地球物理学
    • 1 篇 生物学
  • 5 篇 管理学
    • 4 篇 管理科学与工程(可...
    • 1 篇 图书情报与档案管...

主题

  • 45 篇 6d object pose e...
  • 5 篇 solid modeling
  • 5 篇 pose estimation
  • 4 篇 three-dimensiona...
  • 3 篇 deep learning
  • 3 篇 attention mechan...
  • 3 篇 shape
  • 2 篇 data generation
  • 2 篇 semantic segment...
  • 2 篇 zero-shot learni...
  • 2 篇 domain adaptatio...
  • 2 篇 robots
  • 2 篇 vector fields
  • 2 篇 3d object detect...
  • 2 篇 feature extracti...
  • 2 篇 robotic grasping
  • 2 篇 artificial intel...
  • 2 篇 instance segment...
  • 2 篇 robot manipulati...
  • 2 篇 computer vision

机构

  • 3 篇 bnrist peoples r...
  • 2 篇 peking univ peop...
  • 2 篇 univ chinese aca...
  • 2 篇 univ sci & techn...
  • 2 篇 beijing key lab ...
  • 2 篇 tsinghua univ pe...
  • 2 篇 beijing jiaotong...
  • 2 篇 univ washington ...
  • 1 篇 univ sci & techn...
  • 1 篇 ustc deqing alph...
  • 1 篇 key lab biomimet...
  • 1 篇 nvidia seattle w...
  • 1 篇 technical univer...
  • 1 篇 china univ techn...
  • 1 篇 dalian univ tech...
  • 1 篇 univ sci & techn...
  • 1 篇 clearspace renen...
  • 1 篇 univ parma dept ...
  • 1 篇 chinese acad sci...
  • 1 篇 samsung elect co...

作者

  • 3 篇 wang guoping
  • 3 篇 zou lu
  • 3 篇 wang gu
  • 3 篇 huang zhangjin
  • 3 篇 ji xiangyang
  • 3 篇 xiang yu
  • 2 篇 zhu yazhi
  • 2 篇 huang xiao
  • 2 篇 hoang dinh-cuong
  • 2 篇 jiang zhihong
  • 2 篇 xu wanru
  • 2 篇 wan lili
  • 2 篇 li yi
  • 2 篇 gu naijie
  • 2 篇 salzmann mathieu
  • 2 篇 wang shenghui
  • 2 篇 li hui
  • 2 篇 fox dieter
  • 1 篇 stepanova karla
  • 1 篇 tang lei

语言

  • 44 篇 英文
  • 1 篇 其他
检索条件"主题词=6D object pose estimation"
45 条 记 录,以下是1-10 订阅
排序:
6d object pose estimation via viewpoint relation reasoning
收藏 引用
NEUROCOMPUTING 2020年 389卷 9-17页
作者: Zhao, Wanqing Zhang, Shaobo Guan, Ziyu Luo, Hangzai Tang, Lei Peng, Jinye Fan, Jianping Northwestern Univ Sch Informat & Technol Xian Shaanxi Peoples R China Xian Microelect Technol Inst Xian Shaanxi Peoples R China UNC Charlotte Dept Comp Sci Charlotte NC USA
Estimating the 6d object pose is a very challenging task in computer vision. The main difficulty is mapping the object from RGB images to 3d space. In this paper, we present a novel two-stage method for estimating the... 详细信息
来源: 评论
6d object pose estimation based on dense convolutional object center voting with improved accuracy and efficiency
收藏 引用
VISUAL COMPUTER 2024年 第8期40卷 5421-5434页
作者: Ullah, Faheem Wei, Wu Fan, Zhun Yu, Qiuda China Univ Technol Sch Automat Sci & Engn South Guangzhou Peoples R China Shantou Univ Coll Engn Shantou Guangdong Peoples R China
6d object pose estimation is an important application of computer vision and a basic module in robotic manipulation, but dealing with occlusion in a cluttered environment, handling symmetries, and textureless surfaces... 详细信息
来源: 评论
deep instance segmentation and 6d object pose estimation in cluttered scenes for robotic autonomous grasping
收藏 引用
INdUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH ANd APPLICATION 2020年 第4期47卷 593-606页
作者: Wu, Yongxiang Fu, Yili Wang, Shuguo Harbin Inst Technol State Key Lab Robot & Syst Harbin Peoples R China
Purpose This paper aims to design a deep neural network for object instance segmentation and six-dimensional (6d) pose estimation in cluttered scenes and apply the proposed method in real-world robotic autonomous gras... 详细信息
来源: 评论
CSA6d: Channel-Spatial Attention Networks for 6d object pose estimation
收藏 引用
COGNITIVE COMPUTATION 2022年 第2期14卷 702-713页
作者: Chen, Tao Gu, dongbing Univ Essex Sch Comp Sci & Elect Engn Colchester CO4 3SQ Essex England
6d object pose estimation plays a crucial role in robotic manipulation and grasping tasks. The aim to estimate the 6d object pose from RGB or RGB-d images is to detect objects and estimate their orientations and trans... 详细信息
来源: 评论
Occlusion-Aware Self-Supervised Monocular 6d object pose estimation
收藏 引用
IEEE TRANSACTIONS ON PATTERN ANALYSIS ANd MACHINE INTELLIGENCE 2024年 第3期46卷 1788-1803页
作者: Wang, Gu Manhardt, Fabian Liu, Xingyu Ji, Xiangyang Tombari, Federico Tsinghua Univ Dept Automat Beijing 100084 Peoples R China BNRist Beijing 100084 Peoples R China Google Inc CH-8002 Zurich Switzerland Tech Univ Munich D-80333 Munich Germany
6d object pose estimation is a fundamental yet challenging problem in computer vision. Convolutional Neural Networks (CNNs) have recently proven to be capable of predicting reliable 6d pose estimates even under monocu... 详细信息
来源: 评论
Category-Level 6d object pose estimation With Structure Encoder and Reasoning Attention
收藏 引用
IEEE TRANSACTIONS ON CIRCUITS ANd SYSTEMS FOR VIdEO TECHNOLOGY 2022年 第10期32卷 6728-6740页
作者: Liu, Jierui Cao, Zhiqiang Tang, Yingbo Liu, Xilong Tan, Min Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China
Category-level 6d object pose estimation has gained popularity and it is still challenging due to the diversity of different instances within the same category. In this paper, a novel category-level 6d object pose est... 详细信息
来源: 评论
Geopose: dense Reconstruction Guided 6d object pose estimation With Geometric Consistency
收藏 引用
IEEE TRANSACTIONS ON MULTIMEdIA 2022年 24卷 4394-4408页
作者: Wang, deming Zhou, Guangliang Yan, Yi Chen, Huiyi Chen, Qijun Tongji Univ Coll Elect & Informat Engn 4800 Caon Highway Shanghai 201804 Peoples R China Tisch Sch Arts Univ New York NY 10003 USA
6d object pose estimation for texture-less objects from RGB images remains challenging, especially in occlusion scenarios. Instead of localizing sparse keypoints by regressing their image coordinates or heatmaps, whic... 详细信息
来源: 评论
CMA: Cross-modal attention for 6d object pose estimation
收藏 引用
COMPUTERS & GRAPHICS-UK 2021年 97卷 139-147页
作者: Zou, Lu Huang, Zhangjin Wang, Fangjun Yang, Zhouwang Wang, Guoping Univ Sci & Technol China Hefei 230026 Peoples R China Peking Univ Beijing 100000 Peoples R China
deep learning methods for 6d object pose estimation based on RGB and depth (RGB-d) images have been successfully applied to robotic manipulation and grasping. Among these approaches, the fusion of RGB and depth modali... 详细信息
来源: 评论
Holistic and local patch framework for 6d object pose estimation in RGB-d images
收藏 引用
COMPUTER VISION ANd IMAGE UNdERSTANdING 2019年 180卷 59-73页
作者: Zhang, Haoruo Cao, Qixin Shanghai Jiao Tong Univ Sch Mech Engn State Key Lab Mech Syst & Vibrat Shanghai Peoples R China
6d object pose estimation is a challenging problem of great importance arising in computer vision and many practical applications. In this paper, we present a novel framework for 6d object pose estimation in RGB-d ima... 详细信息
来源: 评论
6d-ViT: Category-Level 6d object pose estimation via Transformer-Based Instance Representation Learning
收藏 引用
IEEE TRANSACTIONS ON IMAGE PROCESSING 2022年 31卷 6907-6921页
作者: Zou, Lu Huang, Zhangjin Gu, Naijie Wang, Guoping Univ Sci & Technol China Sch Data Sci Hefei 230027 Peoples R China Univ Sci & Technol China Sch Comp Sci & Technol Hefei 230027 Peoples R China Peking Univ Sch Comp Sci Beijing Peoples R China
This paper presents 6d vision transformer (6d-ViT), a transformer-based instance representation learning network suitable for highly accurate category-level object pose estimation based on RGB-d images. Specifically, ... 详细信息
来源: 评论