Face Reconstruction and Recognition using a Statistical Model Combining Shape and Spherical Harmonics

被引：0
|
作者：
Rara, Ham [1 ]
Starr, Thomas [1 ]
Farag, Aly [1 ]
机构：
[1] Univ Louisville, Louisville, KY 40292 USA
来源：
PROCEEDINGS OF THE IEEE SOUTHEASTCON 2009, TECHNICAL PROCEEDINGS | 2009年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We present a face reconstruction framework based on a statistical model that merges shape (2D and height maps), appearance (albedo), and spherical harmonics projection (SHP) information. The framework takes a 2D frontal face image under arbitrary illumination as input and outputs the estimated 3D shape and appearance. Face identification is performed using the shape and albedo coefficients of the fitting process, as well as the actual shape/texture reconstructions. Results show decent face reconstructions and a perfect identification rate for the frontal images of the Extended Yale Database B.
引用
收藏
页码：350 / 355
页数：6
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