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• W3000469441 abstract "The use of virtual reality (VR) has been exponentially increasing and due to that many researchers have started to work on developingnew VR based social media. For this purpose it is important to have an avatar of the user which look like them to be easily generated by thedevices which are accessible, such as mobile phones. In this paper, we propose a novel method of recreating a 3D human face model capturedwith a phone camera image or video data. The method focuses more on model shape than texture in order to make the face recognizable. Wedetect 68 facial feature points and use them to separate a face into four regions. For each area the best fitting models are found and are furthermorphed combined to find the best fitting models for each area. These are then combined and further morphed in order to restore the originalfacial proportions. We also present a method of texturing the resulting model, where the aforementioned feature points are used to generatea texture for the resulting model." @default.
• W3000469441 created "2020-01-23" @default.
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• W3000469441 date "2019-02-01" @default.
• W3000469441 modified "2023-09-26" @default.
• W3000469441 title "3D face reconstruction with region based best fit blending using mobile phone for virtual reality based social media" @default.
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