物体姿勢を維持する画像変換を用いたzero-shot姿勢推定
Author:
Affiliation:
1. Faculty of Science and Technology, Meijo University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/143/12/143_1113/_pdf
Reference19 articles.
1. (1) G. A. Garcia Ricardez, S. Okada, N. Koganti, A. Yasuda, P. M. Uriguen, Eljuri, T. Sano, P.-C. Yang, L. El Hafi, M. Yamamoto, J. Takamatsu, and T. Ogasawara : “Restock and straightening system for retail automation using compliant and mobile manipulation”, Advanced Robotics, pp. 235-249 (2019)
2. (2) R. Sakai, S. Katsumata, T. Miki, T. Yano, W. Wei, Y. Okadome, N. Chihara, N. Kimura, Y. Nakai, I. Matsuo, and T. Shimizu : “A mobile dual-arm manipulation robot system for stocking and disposing of items in a convenience store by using universal vacuum grippers for grasping items”, Advanced Robotics, pp. 219-234 (2019)
3. (3) K. Fujita and T. Tasaki : “PYNet: Poseclass and Yow Angle Output Network for Object Pose Estimation”, Journal of Robotics and Mechatronics, Vol. 35, No. 1, pp. 8-17 (2023)
4. (4) Y. He, H. Huang, H. Fan, Q. Chen, and J. Sun : “FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation”, International Conference on Computer Vision and Pattern Recognition, pp. 3002-3012 (2021)
5. (5) C. Wang, D. Xu, Y. Zhu, R. Martin-Martin, C. Lu, L. Fei-Fei, and S. Savarese : “DenseFusion: 6D object Pose Estimation by Iterative Dense Fusion”, International Conference on Computer Vision and Pattern Recognition, pp. 3343-3352 (2019)
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