In this paper, inverseprojection principal component analysis (IPPCA) method is presented by way of research on PCA characteristics for improving its monitor sensitivity and diagnosis accuracy.
It put forward an effective new method to resolve the inverse position by using the conversion of coordinates and projection in analytic geometry, the method was simulated and verified by MATLAB.
Through comparison of experiments using computer stimulation and a real object respectively, a conclusion is gotten that this method can improve precision of inverse fringe projection effectively.