Vision System and Depth Processing for DRC-HUBO+
September 21, 2015 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Inwook Shim, Seunghak Shin, Yunsu Bok, Kyungdon Joo, Dong-Geol Choi, Joon-Young Lee, Jaesik Park, Jun-Ho Oh, In So Kweon
arXiv ID
1509.06114
Category
cs.CV: Computer Vision
Cross-listed
cs.RO
Citations
13
Venue
IEEE International Conference on Robotics and Automation
Last Checked
4 months ago
Abstract
This paper presents a vision system and a depth processing algorithm for DRC-HUBO+, the winner of the DRC finals 2015. Our system is designed to reliably capture 3D information of a scene and objects robust to challenging environment conditions. We also propose a depth-map upsampling method that produces an outliers-free depth map by explicitly handling depth outliers. Our system is suitable for an interactive robot with real-world that requires accurate object detection and pose estimation. We evaluate our depth processing algorithm over state-of-the-art algorithms on several synthetic and real-world datasets.
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