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Difference between revisions of "Research Material"

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==Depth Image to 3D Pose==
 
==Depth Image to 3D Pose==
  
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* 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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* Interview with the creators http://blogs.wsj.com/tech-europe/2010/11/08/key-kinect-technology-devised-in-cambridge-lab/
 
* 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
 
* 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|http://research.microsoft.com/apps/video/default.aspx?id=139295] check it around 50 minutes
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* 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 [http://research.microsoft.com/apps/video/default.aspx?id=139295 video] . Check it around 59 minutes.
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* Kinect visionary talks tech http://www.eurogamer.net/articles/digitalfoundry-kinect-tech-interview
 
* 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
 
* Random Forests http://www.robots.ox.ac.uk/~vgg/publications/papers/schroff08.pdf
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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
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* 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 02:25, 4 April 2011

A page for papers and textbooks that are helpful when working with different Kinect related projects.

Depth Image to 3D Pose

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04410329

Rough understanding and ways to create training data

Depth-Camera Data Processing

Hand Pose Recognition