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teaching:gsoc2017 [2017/03/05 19:10] – [Topic 3: ROS with PR2 integration in Unreal Engine] ahaidu | teaching:gsoc2017 [2017/03/17 18:21] (current) – [Topic 1: Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios] balintbe | ||
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would start from (but not necessarly limit ourselves to) the implemen- | would start from (but not necessarly limit ourselves to) the implemen- | ||
tation of two state-of-the-art algorithms described in recent papers: | tation of two state-of-the-art algorithms described in recent papers: | ||
- | [1] Ilya Lysenkov, Victor Eruhimov, and Gary Bradski, Recognition | + | |
- | and Pose Estimation of Rigid Transparent Objects with a Kinect Sen- | + | [1] Aleksandrs Ecins, Cornelia Fermuller |
- | sor, 2013 Robotics: Science | + | |
[2] Richtsfeld A., M ̈ | [2] Richtsfeld A., M ̈ | ||
orwald T., Prankl J., Zillich M. and Vincze | orwald T., Prankl J., Zillich M. and Vincze | ||
Line 106: | Line 105: | ||
**Task Difficulty: | **Task Difficulty: | ||
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- | **Requirements: | + | **Requirements: |
- | edge of CMake. Experience with PCL, OpenCV is prefered. | + | |
**Expected Results:** Currently the RoboSherlock framework lacks good perception algorithms that can generate object-hypotheses in challenging scenarios(clutter and/or occlusion). The expected results are several software components based on recent advances in cluttered scene analysis that are able to successfully recognized objects in the scenarios mentioned in the objectives, or a subset of these. | **Expected Results:** Currently the RoboSherlock framework lacks good perception algorithms that can generate object-hypotheses in challenging scenarios(clutter and/or occlusion). The expected results are several software components based on recent advances in cluttered scene analysis that are able to successfully recognized objects in the scenarios mentioned in the objectives, or a subset of these. |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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