MediaWiki API result

{
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    "continue": {
        "gapcontinue": "Roadmap",
        "continue": "gapcontinue||"
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    "query": {
        "pages": {
            "167": {
                "pageid": 167,
                "ns": 0,
                "title": "ResearchAndScientificPublications",
                "revisions": [
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                        "*": "== Research and Scientific Publications on and using the Kinect ==\n\n<pre>\n@inproceedings{Henry:2010RGB-D,\n\tAuthor = {Henry, P. and Krainin, M. and Herbst, E. and Ren, X. and Fox, D.},\n\tBooktitle = {The 12th International Symposium on Experimental Robotics (ISER)},\n\tTitle = {{RGB-D Mapping: Using depth cameras for dense 3D modeling of indoor environments}},\n\tYear = {2010}}\n</pre>"
                    }
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            "11": {
                "pageid": 11,
                "ns": 0,
                "title": "Research Material",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
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                        "*": "A page for papers and textbooks that are helpful when working with different Kinect related projects.\n\n==Depth Image to 3D Pose==\n\n* Microsoft's algorithm used in the Kinect: http://research.microsoft.com/pubs/145347/BodyPartRecognition.pdf\n* A Bayesian Framework for Human Body Pose Tracking from Depth Image Sequences http://www.mdpi.com/1424-8220/10/5/5280/pdf\n* 3D Head Tracking Based on Recognition and Interpolation Using a Time-Of-Flight Depth Sensor\nhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04410329\n* 3-D human body tracking from depth images using analysis by synthesis http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=958455\n* Interview with the creators http://blogs.wsj.com/tech-europe/2010/11/08/key-kinect-technology-devised-in-cambridge-lab/\n* Microsoft Researcher publication papers http://jamie.shotton.org/work/publications.html\n* 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.\n\n* Kinect visionary talks tech http://www.eurogamer.net/articles/digitalfoundry-kinect-tech-interview\n* Random Forests http://www.robots.ox.ac.uk/~vgg/publications/papers/schroff08.pdf\n* Randomized Trees for Human Pose Detection http://eprints.pascal-network.org/archive/00006537/01/CVPR2008-RandomForest.pdf\n* 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\n\n[[Understanding|Rough understanding and ways to create training data]]\n\n==Depth-Camera Data Processing==\n\n* Realtime Identification and Localization of Body Parts from Depth Images (ICRA 2010), http://stanford.edu/~plagem/bib/plagemann10icra.pdf\n* Real Time Motion Capture Using a Single Time-of-Flight Camera (CVPR 2010), http://stanford.edu/~plagem/bib/ganapathi10cvpr.pdf\n* A Layered Approach to People Detection in 3D Range Data (AAAI 2010), http://www.informatik.uni-freiburg.de/~spinello/AAAI2010.html\n\n==Hand Pose Recognition==\n\n* Hand Segmentation Using 2D/3D Images http://digital.liby.waikato.ac.nz/conferences/ivcnz07/papers/ivcnz07-paper12.pdf\n\n* Real Time Hand Based Robot Control Using Multimodal Images http://www.iaeng.org/IJCS/issues_v35/issue_4/IJCS_35_4_08.pdf\n\n* A Gesture Recognition System Using 3D Data http://vision.iti.gr/sotiris/publications/3dpvt2002.pdf"
                    }
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