An Adaptive Calibration Algorithm for Projected Images in Daily Environment

This paper proposes an adaptive calibration algorithm for projected images which enables ordinary projectors to project on arbitrary surfaces in daily environment.Firstly,the algorithm uses a discrete mapping method based on binary-coded structured light to register geometry of projection surfaces.Then an optimized Lambertian reflection model is applied to construct texture space of projection surfaces and environment illumination.Finally,based on the established model the original projection image is warped in geometry space and compensated in color space to make it shown as desired on the projection surface.Experimental results show that this algorithm can adapt to irregular geometric shape and complex inherent texture of projection surfaces in common ambient light environment and get projection effect on arbitrary surfaces as like to projection on uniformly white flat screens.