Efficient pose estimation from single RGB-D image via Hough forest with auto-context
We propose a high efficient learning approach to estimating 6D (Degree of Freedom) pose of the textured or texture-less objects for grasping purposes in a cluttered environment where the objects might be partially occluded. The method comprises three main steps. Given a single RGB-D image, we first...
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Main Authors: | Dong, Huixu, Prasad, Dilip Kumar, Yuan, Qilong, Zhou, Jiadong, Asadi, Ehsan, Chen, I-Ming |
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Other Authors: | School of Computer Science and Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/143044 |
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Institution: | Nanyang Technological University |
Language: | English |
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