Efficient 3D Object Recognition for Unadjusted Bin Picking Automation
Author:
Affiliation:
1. Kyushu Institute of Technology,School of Engineering,Fukuoka,Japan
2. Yangzhou University,School of Information Engineering,Yangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10592105/10592309/10592455.pdf?arnumber=10592455
Reference25 articles.
1. Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge
2. Fully convolutional networks for semantic segmentation
3. Object Segmentation in Depth Maps with One User Click and a Synthetically Trained Fully Convolutional Network
4. Mask R-CNN
5. Segmenting unknown 3d objects from real depth images using mask r-cnn trained on synthetic point clouds;Danielczuk;arXiv preprint arXiv:1809.05825,2018
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