research:projects:3rdhand:ibkpointingdataset
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| - | ==== Innsbruck Pointing Dataset ==== | + | [[datasets:ipo|Innsbruck Pointing at Objects Dataset]] |
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| - | Deictic gestures – pointing at things in human-human collaborative tasks – constitute a pervasive, non-verbal | + | |
| - | way of communication, used e.g. to direct attention towards objects of interest. In a human-robot interactive scenario, in order to delegate tasks from a human to a robot, one of the key requirements is to recognize and estimate the pose of the pointing gesture. | + | |
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| - | **Dataset Features** | + | |
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| - | * Two types of pointing gestures: (1) Natural pointing with index finger, and (2) Tool pointing with white board marker. | + | |
| - | * 9 participants pointing at 10 objects performing both the types of pointing gestures. | + | |
| - | * Pointing gestures recorded with RGB-D with Kinect sensor. | + | |
| - | * 180 RGB-D test images available with the ground truth to evaluate 3D pointing direction. | + | |
| - | * Publicly available to [[https://iis.uibk.ac.at/public/datasets/ibkpointingdataset/ibkpointingdataset.zip|Download]] (~100MB). | + | |
| - | + | ||
| - | **Sample Images** | + | |
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| - | {{:research:projects:3rdhand:natural_pointing.png?nolink&300|}} | + | |
| - | {{:research:projects:3rdhand:tool_pointing.png?nolink&300|}} | + | |
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| - | Marked points (red - hand, green - objects) are the 2D locations used as the ground truth. | + | |
| - | + | ||
| - | **Reference** | + | |
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| - | Dadhichi Shukla, Ozgur Erkent, Justus Piater, Probabilistic detection of pointing directions for human robot interaction. International Conference on Digital Image Computing: Techniques and Applications, 2015.[[https://iis.uibk.ac.at/public/papers/Shukla-2015-DICTA.pdf|PDF]]. | + | |
| - | + | ||
| - | **BibTex** | + | |
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| - | @InProceedings{Shukla-2015-DICTA, | + | |
| - | title = {{Probabilistic detection of pointing directions for human robot interaction}}, | + | |
| - | author = {Shukla, Dadhichi and Erkent, Ozgur and Piater, Justus}, | + | |
| - | booktitle = {{International Conference on Digital Image Computing: Techniques and Applications}}, | + | |
| - | year = 2015, | + | |
| - | month = 11, | + | |
| - | url = {https://iis.uibk.ac.at/public/papers/Shukla-2015-DICTA.pdf} | + | |
| - | } | + | |
| - | + | ||
| - | **Acknowledgement** | + | |
| - | + | ||
| - | The research leading to these results has received funding from the European Community’s Seventh Framework Programme FP7/2007-2013 (Specific Programme Cooperation, Theme 3, Information and Communication Technologies) under grant agreement no. 610878, [[http://3rdhandrobot.eu/|3rd HAND]]. | + | |
| - | + | ||
| - | + | ||
| - | **Contact** | + | |
| - | + | ||
| - | dadhichi**[dot]**shukla**[at]**uibk**[dot]**ac**[dot]**at | + | |
research/projects/3rdhand/ibkpointingdataset.1450022456.txt.gz · Last modified: 2018/09/03 14:57 (external edit)