We present a novel framework to automatically build 3D carton face model from a single frontal face image. We use the improved ASM algorithm to automatically detect the deformed key feature control points in the face image. The deformation of the control points is compared to that of a standard (average) face, and exaggerated based on face shape and the type of organs and their pitch. RBF-based smooth interpolation is used to generate a 3D model from the exaggerated control points. The resulting 3D human face model not only preserves the identity of the subject in the photo, but also looks cartoonish with exaggerated facial features. Experiments with a large number of real photographs show that our framework is feasible.