Abstract
The use of 3D avatar scanned from real person 3D data has become more and more common in different fields such as video games and movies. The target applications for these models require different constraints on the result to be fulfilled. In this paper we propose to generate high-resolution closed meshes of a person that can be used for virtual try-on applications, therefore the 3D model should be precise enough for the customer to recognize him/herself wearing a virtual garment. Our approach uses a generic model which is deformed using fast editing method to fit a point cloud obtained from a 3d scanner. Our system is fully automatic and requires only an unoriented point cloud.
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Luginbühl, T., Delattre, L., Gagalowicz, A. (2011). Towards the Automatic Generation of 3D Photo-Realistic Avatars Using 3D Scanned Data. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics Collaboration Techniques. MIRAGE 2011. Lecture Notes in Computer Science, vol 6930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24136-9_17
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DOI: https://doi.org/10.1007/978-3-642-24136-9_17
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