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The use of virtual reality (VR) is exponentially increasing and due to thatmany researchers has started to work on developing new VR based social media.For this purpose it is important to have an avatar of the users which look likethem to be easily generated by the devices which are accessible, such as mobilephone. In this paper, we propose a novel method of recreating a 3D human facemodel captured with a phone camera image or video data. The method focuses moreon model shape than texture in order to make the face recognizable. We detect68 facial feature points and use them to separate a face into four regions. Foreach area the best fitting models are found and are further morphed combined tofind the best fitting models for each area. These are then combined and furthermorphed in order to restore the original facial proportions. We also present amethod of texturing the resulting model, where the aforementioned featurepoints are used to generate a texture for the resulting model

3D Face Reconstruction with Region Based Best Fit Blending Using Mobile Phone for Virtual Reality Based Social Media