Best Next-Viewpoint Recommendation by Selecting Minimum Pose Ambiguity for Category-Level Object Pose Estimation-Reference-Cited by-同舟云学术

Best Next-Viewpoint Recommendation by Selecting Minimum Pose Ambiguity for Category-Level Object Pose Estimation

Published:2021-05-05 Issue:5 Volume:87 Page:440-446
ISSN:0912-0289
Container-title:Journal of the Japan Society for Precision Engineering
language:en
Short-container-title:Journal of the Japan Society for Precision Engineering

Author:

HASHIM Nik Mohd Zarifie¹²,KAWANISHI Yasutomo²,DEGUCHI Daisuke²,IDE Ichiro²,AMMA Ayako³,KOBORI Norimasa⁴,MURASE Hiroshi²

Affiliation:

1. Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Kejuruteraan Elektronik Dan Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka

2. Nagoya University

3. Toyota Motor Corporation

4. Woven Planet Group

Publisher

Japan Society for Precision Engineering

Subject

Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jjspe/87/5/87_440/_pdf

Reference16 articles.

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3. 3) H. Ninomiya, Y. Kawanishi, D. Deguchi, I. Ide, H. Murase, N. Kobori and Y. Nakano: Deep manifold embedding for 3D object pose estimation, Proc. 12th Joint Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications, (2017) 173.

4. 4) A. Zeng, KT. Yu, S. Song, D. Suo, E. Walker, A. Rodriguez and J. Xiao: Multi-view self-supervised deep learning for 6D pose estimation in the Amazon picking challenge, Proc. 2017 IEEE Int. Conf. on Robotics and Automation, (2017) 1386.

5. 5) Ö. Erkent, D. Shukla and J. Piater: Integration of probabilistic pose estimates from multiple views, Proc. 14th European Conf. on Computer Vision, 7, (2016) 154.