Zhao et al., 2017 - Google Patents
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognitionZhao et al., 2017
View PDF- Document ID
- 11085970717758527172
- Author
- Zhao C
- Sun L
- Stolkin R
- Publication year
- Publication venue
- 2017 18th International Conference on Advanced Robotics (ICAR)
External Links
Snippet
This paper addresses the problem of simultaneous 3D reconstruction and material recognition and segmentation. Enabling robots to recognise different materials (concrete, metal etc.) in a scene is important for many tasks, eg robotic interventions in nuclear …
- 239000000463 material 0 title abstract description 76
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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