Improved maximum likelihood estimation of object pose from 3D point clouds using curves as features
Object recognition and pose estimation is a fundamental problem in automated quality control and assembly in the manufacturing industry. Real world objects present in a manufacturing engineering setting tend to contain more smooth surfaces and edges than unique key points, making state-of-the-art al...
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| Main Authors: | , |
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| Format: | Default Conference proceeding |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/25981 |
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