PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives-Reference-Cited by-同舟云学术

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PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 Sixth IEEE International Conference on Robotic Computing (IRC)
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Author:

Kriegler Andreas¹,Beleznai Csaba¹,Murschitz Markus¹,Gobel Kai¹,Gelautz Margrit²

Affiliation:

1. Vision, Automation and Control AIT Austrian Institute of Technology,Vienna,Austria

2. Visual Computing and Human-Centered Technology TU Wien,Vienna,Austria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10023545/10022323/10023891.pdf?arnumber=10023891

Reference56 articles.

1. 6DoF Pose Estimation of Transparent Object from a Single RGB-D Image

2. Hand Pose Estimation from LocalSurface Normals;wan;European Conference of Computer Vision (ECCV),2016

3. Pose Estimation of Primitive-Shaped Objects from a Depth Image Using Superquadric Representation

4. Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD objects;romanengo;arXiv 2105 06858,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PrimitivePose: Generic Model and Representation for 3D Bounding Box Prediction of Unseen Objects;International Journal of Semantic Computing;2023-08-09

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