Please use this identifier to cite or link to this item:
|Title:||An efficient texture generation technique for human head cloning and morphing||Authors:||Zhang, Y.||Keywords:||Head modeling
|Issue Date:||2006||Citation:||Zhang, Y. (2006). An efficient texture generation technique for human head cloning and morphing. GRAPP 2006 - Proceedings of the 1st International Conference on Computer Graphics Theory and Applications : 267-275. ScholarBank@NUS Repository.||Abstract:||This paper presents a technique to efficiently generate a parameterized full-head texture from a single face image of the scanned data for modeling photorealistic 3D heads. We automatically register face scans in a database by deforming a generic head mesh to fit the specific person's face geometry with a volume morphing approach. After the face texture is transferred onto it, the 3D generic mesh is parameterized over a 2D texture domain to establish a correspondence between all the scanned textures. After having performed a vertex-to-image binding for all vertices of the head mesh, we automatically generate a full-head texture using color interpolation for unbound regions and weighted average splines for visual boundary removal. We also use a deformation method to extract ear textures from the input image for texturing individual ears. With the exception of the initial feature point selection, our method is fully automated. We show photorealistic and real-time head rendering and morphing with the resulting texture.||Source Title:||GRAPP 2006 - Proceedings of the 1st International Conference on Computer Graphics Theory and Applications||URI:||http://scholarbank.nus.edu.sg/handle/10635/116047||ISBN:||9728865392|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 18, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.