A New Image Fusion Method for Estimating 3D Surface Depth

摘要: Creation of virtual reality models from photographs is very complex and time-consuming process, that requires special equipment like laser scanners, a large number manual interaction. In this work we present method for generating surface geometry photographed scene. Our approach based on the phenomenon shallow depth-of-field in close-up photography. Representing such details useful to increase visual realism range application areas, especially biological structures or microorganisms. For testing purposes set images same scene taken typical digital camera with macro lenses different depth-of-field. new image fusion employs discrete Fourier transform designate sharp regions images, combine them together into fully focused finally produce height field map. Further processing algorithms approximate three dimensional using map fused image. Experimental results show our works wide cases gives good tool acquiring surfaces few photographs.