Face Reconstruction from a Small Number of Feature Points

This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of shape and texture information. With the shape and texture information at the feature points alone, we can achieve only an approximation to the deformation required. In such an under-determined condition, we find an optimal solution using a simple least square minimization method. As experimental results, we show well-reconstructed 2D faces even from a small number of feature points.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Bon-Woo Hwang, Seong-Whan Lee, Volker Blanz, Thomas Vetter
• Keywords: Computer Vision, Feature Points, ICPR 2000, Square Minimization Method, Texture Information