Depth Sensing Endoscope

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References

The references used by the team can be seen below:

Website on starting to program the kinect: http://msdn.microsoft.com/en-us/magazine/jj159883.aspx
Haptic feedback for Da Vinci System being developed: http://casit.ucla.edu/body.cfm?id=24
Active shape modelling to identify tools: http://en.wikipedia.org/wiki/Active_shape_model
Computer Vision book: http://web4.cs.ucl.ac.uk/staff/s.prince/book/book.pdf
Mixture model to statistically identify pixels as tool / body: http://en.wikipedia.org/wiki/Mixture_model
The state of depth sensing endoscopes: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Penne09-TOF.pdf
Future of Laparoscopy: http://www.slideshare.net/drsreejoypatnaik/future-of-laparoscopy
3mm tools: http://www.sigroupplc.com/ultra-minimally-invasive-surgery-–-future-laparoscopy
http://www.surginno.com/logi-range#products
Future of surgery as 3D imaging: https://www.youtube.com/watch?v=_MfQJNwVQpY
Future of surgery as robotic surgery:https://www.youtube.com/watch?v=vb79-_hGLkc
Example of active shape modelling:https://www.youtube.com/watch?v=XFvZSWZIubM
Active shape modelling of face on Kinect example: https://www.youtube.com/watch?v=MyHs_Ss0_bU
Paper on introduction to active shape models: http://personalpages.manchester.ac.uk/staff/timothy.f.cootes/Papers/asm_overview.pdf
3D Haptic Shapes: http://www.bris.ac.uk/news/2014/december/haptic-shapes-using-ultrasound.html
http://www.gizmag.com/ultrasound-3d-haptic-hologram/35032/
Kinect testing: http://msdn.microsoft.com/en-us/magazine/jj650892.aspx
C# unit testing: http://msdn.microsoft.com/en-us/library/ms182532.aspx
Extracting point cloud from Kinect:http://www.codeproject.com/Articles/824882/Kinect-v-Point-Cloud
Kinect 1 vs Kinect 2: http://gamasutra.com/blogs/DanielLau/20131127/205820/The_Science_Behind_Kinects_or_Kinect_10_versus_20.php?print=1
Creating a coloured 3D point cloud:http://laht.info/kinect-v2-colored-point-clouds/
Tool tracking in robotic and minimally invasive surgery:http://www.surgicalvision.cs.ucl.ac.uk/research/tooltracking/
Morphology (identify green tools): https://www.cs.auckland.ac.nz/courses/compsci773s1c/lectures/ImageProcessing-html/topic4.htm
Largest Connected Component (blob extraction): http://en.wikipedia.org/wiki/Connected-component_labeling
C++ tutorials - thenewboston: https://www.thenewboston.com/videos.php?cat=16
OpenCV (C++ library for processing images): http://opencv.org
The Stratgey Design Pattern: http://en.wikipedia.org/wiki/Strategy_pattern
Using Kinect Studio to test Kinect applications: http://mtaulty.com/CommunityServer/blogs/mike_taultys_blog/archive/2014/10/02/kinect-for-windows-v2-sdk-kinect-studio-the-swiss-army-knife.aspx
RGBDemo on GitHub - Kinect code for coordinate mapping
Guide to getting each separate stream: http://pterneas.com/2014/02/20/kinect-for-windows-version-2-color-depth-and-infrared-streams/
Strategy Pattern UML: http://www.oodesign.com/strategy-pattern.html
Basic UML tutorial : http://www.ibm.com/developerworks/rational/library/content/RationalEdge/sep04/bell/
Distance transform algorithm, colour according to distance from edges: http://en.wikipedia.org/wiki/Distance_transform
Fast Fourier Transform in C#: http://www.codeproject.com/Articles/44166/D-FFT-of-an-Image-in-C
OpenMP - speed up code - run on GPU? http://openmp.org/wp/
Colour depth: http://openkinect.org/wiki/C%2B%2B_GL_Example