CALCULATENOISEVAR.m Calculates the variance of the Kinect Noise CALCULATENOISEVAR is a function for calculating the depth noise for a given distance according to the quadratic noise model presented in [1] INPUT: -depthValue depth measurement -noiseModelP0, noiseModelP1,noiseModelP2 noise model parameters OUTPUT -noiseSTD estimated noise standard deviation See also FASTDEPTHSEGMENTATIONDSKCF_NOISEMODEL, CHECKOCCLUSIONSDSKCF_NOISEMODEL, CHECKOCCLUSIONSDSKCF_SECONDPLANE [1] M. Camplani, T. Mantecon, and L. Salgado. Depth-color fusion strategy for 3-D scene modeling with Kinect. Cybernetics, IEEE Transactions on, 43(6):1560–1571, 2013 University of Bristol Massimo Camplani and Sion Hannuna massimo.camplani@bristol.ac.uk hannuna@compsci.bristol.ac.uk
0001 function noiseStd=calculateNoiseVar(depthValue, noiseModelP0, noiseModelP1,noiseModelP2) 0002 % CALCULATENOISEVAR.m Calculates the variance of the Kinect Noise 0003 % 0004 % CALCULATENOISEVAR is a function for calculating the depth noise for a 0005 % given distance according to the quadratic noise model presented in [1] 0006 % 0007 % INPUT: 0008 % -depthValue depth measurement 0009 % -noiseModelP0, noiseModelP1,noiseModelP2 noise model parameters 0010 % 0011 % OUTPUT 0012 % -noiseSTD estimated noise standard deviation 0013 % 0014 % See also FASTDEPTHSEGMENTATIONDSKCF_NOISEMODEL, 0015 % CHECKOCCLUSIONSDSKCF_NOISEMODEL, CHECKOCCLUSIONSDSKCF_SECONDPLANE 0016 % 0017 % [1] M. Camplani, T. Mantecon, and L. Salgado. Depth-color fusion 0018 % strategy for 3-D scene modeling with Kinect. Cybernetics, IEEE 0019 % Transactions on, 43(6):1560–1571, 2013 0020 % 0021 % 0022 % University of Bristol 0023 % Massimo Camplani and Sion Hannuna 0024 % 0025 % massimo.camplani@bristol.ac.uk 0026 % hannuna@compsci.bristol.ac.uk 0027 0028 noiseStd=noiseModelP0+ noiseModelP1*depthValue+ noiseModelP2*depthValue*depthValue;