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==Depth Image to 3D Pose== | ==Depth Image to 3D Pose== | ||
* Microsoft's algorithm used in the Kinect: http://research.microsoft.com/pubs/145347/BodyPartRecognition.pdf | |||
* A Bayesian Framework for Human Body Pose Tracking from Depth Image Sequences http://www.mdpi.com/1424-8220/10/5/5280/pdf | * A Bayesian Framework for Human Body Pose Tracking from Depth Image Sequences http://www.mdpi.com/1424-8220/10/5/5280/pdf | ||
* 3D Head Tracking Based on Recognition and Interpolation Using a Time-Of-Flight Depth Sensor | * 3D Head Tracking Based on Recognition and Interpolation Using a Time-Of-Flight Depth Sensor | ||
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* Realtime Identification and Localization of Body Parts from Depth Images (ICRA 2010), http://stanford.edu/~plagem/bib/plagemann10icra.pdf | * Realtime Identification and Localization of Body Parts from Depth Images (ICRA 2010), http://stanford.edu/~plagem/bib/plagemann10icra.pdf | ||
* Real Time Motion Capture Using a Single Time-of-Flight Camera (CVPR 2010), http://stanford.edu/~plagem/bib/ganapathi10cvpr.pdf | * Real Time Motion Capture Using a Single Time-of-Flight Camera (CVPR 2010), http://stanford.edu/~plagem/bib/ganapathi10cvpr.pdf | ||
* A Layered Approach to People Detection in 3D Range Data (AAAI 2010), http://www.informatik.uni-freiburg.de/~spinello/AAAI2010.html | |||
==Hand Pose Recognition== | ==Hand Pose Recognition== | ||
Latest revision as of 01:25, 4 April 2011
A page for papers and textbooks that are helpful when working with different Kinect related projects.
Depth Image to 3D Pose
- Microsoft's algorithm used in the Kinect: http://research.microsoft.com/pubs/145347/BodyPartRecognition.pdf
- A Bayesian Framework for Human Body Pose Tracking from Depth Image Sequences http://www.mdpi.com/1424-8220/10/5/5280/pdf
- 3D Head Tracking Based on Recognition and Interpolation Using a Time-Of-Flight Depth Sensor
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04410329
- 3-D human body tracking from depth images using analysis by synthesis http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=958455
- Interview with the creators http://blogs.wsj.com/tech-europe/2010/11/08/key-kinect-technology-devised-in-cambridge-lab/
- Microsoft Researcher publication papers http://jamie.shotton.org/work/publications.html
- Kinect for XBox 360 - The innovation Journey http://research.microsoft.com/en-us/um/redmond/events/fs2010/presentations/Kudo_Fitzgibbons_Kinect_for_Xbox360_071210_FacSummit.pdf and video . Check it around 59 minutes.
- Kinect visionary talks tech http://www.eurogamer.net/articles/digitalfoundry-kinect-tech-interview
- Random Forests http://www.robots.ox.ac.uk/~vgg/publications/papers/schroff08.pdf
- Randomized Trees for Human Pose Detection http://eprints.pascal-network.org/archive/00006537/01/CVPR2008-RandomForest.pdf
- What are Textons? http://www.google.com.br/url?sa=t&source=web&cd=1&ved=0CBMQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.76.8748%26rep%3Drep1%26type%3Dpdf&rct=j&q=Textons&ei=C-TqTK_KEoKB8gakzJyrCQ&usg=AFQjCNFg-lf0wk6DhSS_b6AP_3naQAT3Ag&sig2=zg3EOGxFBp7u8hHvYrvLUQ&cad=rja
Rough understanding and ways to create training data
Depth-Camera Data Processing
- Realtime Identification and Localization of Body Parts from Depth Images (ICRA 2010), http://stanford.edu/~plagem/bib/plagemann10icra.pdf
- Real Time Motion Capture Using a Single Time-of-Flight Camera (CVPR 2010), http://stanford.edu/~plagem/bib/ganapathi10cvpr.pdf
- A Layered Approach to People Detection in 3D Range Data (AAAI 2010), http://www.informatik.uni-freiburg.de/~spinello/AAAI2010.html
Hand Pose Recognition
- Hand Segmentation Using 2D/3D Images http://digital.liby.waikato.ac.nz/conferences/ivcnz07/papers/ivcnz07-paper12.pdf
- Real Time Hand Based Robot Control Using Multimodal Images http://www.iaeng.org/IJCS/issues_v35/issue_4/IJCS_35_4_08.pdf
- A Gesture Recognition System Using 3D Data http://vision.iti.gr/sotiris/publications/3dpvt2002.pdf
