A Proposed (FRMS) 3D Face Reconstruction Method from Stereo Images

The capturing of 3D information data is complex procedure in the development of 3D face technology. A recent trend has been incorporates many 3D reconstructions approach from 2D images have been addresses. Among state of art methods, Photometric stereo techniques become more attractive in the surface recovery process. This proposal presents a novel framework based on recent state of art approaches to construct face surface using stereo images. The first contribution is the Surface reconstruction using the Frankot-Chellappa algorithm and applies a surf tools to visualize the 3D reconstruction. The second contribution is the Magic wind image editing application to the selection of region and finds the pixels whose colors fall within the specified tolerance of some reference pixels. The experimental results analyzed with the existing method of photometric stereo testify that our proposed algorithm is more enhance than some of the prior methods.