Note: The Matlab codes will only work after downloading MSR-ACTION3D, unable to upload the entire dataset. Please Download the MSR-ACTION3D DATASET FROM THE LINK BELOW https://www.uow.edu.au/~jz960/datasets/MSRAction3D.html (requires password to open the file)

AS_Imagereconstruction.m - used for reproducing the image results in the paper, particularly reconstructing the images under various proportions (10%, 20%, 30%, 40%, 50% upto 100%) using Reduced Basis Decomposition(RBD), Principal Component Analysis(PCA), Singular Value Decomposition(SVD)

Note: FLOPS require function variables(RBD,Pro-CRC,Pro-Max,Eigenface_f,L2CRC) to be stored in the workspace(results folder), time won't give you the correct evaluation due to optimization problems and memory management issues within MATLAB. However the time difference between RBD and PCA can be noticed when run on either MAC(As per RBD Author)/Linux(As per the current paper).

ASFlopcounts.m - used for comparing the FLOPS between 1.RBD vs PCA 2.Pro-CRC vs L2-CRC

(Note:- Although these tests were followed in most RGB-D related papers, its not a good test to compare classification effectiveness with previous papers)

(Note:- Second best method, however each actionsets will have different settings for resizing images(front,side and top))

(Note1:- Best methods for producing close to real-time performance and all the actions involved in (AS1,AS2 and AS3) it follow the same settings for resizing images(front,side and top)) (Note2:- It contains exhaustive 252 Combinations of all subjects and LeaveOneSubjectOut LOSO Tests) - Takes sometime to run

(For computing reduced basis decomposition)

(For computing PCA)

(For finding the alpha coefficients of probabilistic Classification )

(For finding the classified final label based on residual errors)

(Collaborative Representation classifier with Tikhonov Weighted Regularization)

(for computing the FLOPS, this may change based on hardware architecture and Operating systems)