Efficient pose estimation from single RGB-D image via Hough forest with auto-context

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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Bibliographic Details
Main Authors: Dong, Huixu, Prasad, Dilip Kumar, Yuan, Qilong, Zhou, Jiadong, Asadi, Ehsan, Chen, I-Ming
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2020
Subjects:
Engineering::Mechanical engineering
Training
Forestry
Online Access:https://hdl.handle.net/10356/143044

Internet

https://hdl.handle.net/10356/143044

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