Active shape models—their training and application
Computer Vision and Image Understanding
Realistic modeling for facial animation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
3D face modeling from perspective-views and contour-based generic-model
Real-Time Imaging
Reconstruction and representation of 3D objects with radial basis functions
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
MPEG-4 Compatible Faces from Orthogonal Photos
CA '99 Proceedings of the Computer Animation
Spatiotemporal Analysis of Face Profiles: Detection, Segmentation, and Registration
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Synthesizing Lateral Face From Frontal Facial Image Using Human Anthropometric Estimation
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Randomized Generalized Hough Transform for 2-D Grayscale Object Detection
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Image-based 3D face modeling system
EURASIP Journal on Applied Signal Processing
3-D facial model estimation from single front-view facial image
IEEE Transactions on Circuits and Systems for Video Technology
Rapid 3D face reconstruction by fusion of SFS and Local Morphable Model
Journal of Visual Communication and Image Representation
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Modeling a 3D face model that resembles a human face has been an important issue in computer graphics. A number of researchers have proposed various modeling methodologies to model the human face realistically. However, despite the fact that these methods give high-quality results, the time, cost, and labor required to generate such models by these methods are often high. In this paper, we propose a fully automatic face modeling method that can rapidly create a realistic 3D face model on the basis of a single 2D image. We studied 200 frontal facial images and captured their statistical shape variations. Using these properties, facial features were detected from the images. The depth information of the facial features was then estimated using an anthropometrical measurement database of human faces. Finally, by aligning the feature points three-dimensionally and interpolating them, a facial surface is generated. Finally, upon these 3-dimensional alignment of the facial features, a surface interpolates these feature points are created. As a result, we could obtain realistic 3D faces models of several individuals without any efforts. Further, the computational cost of our method was much lower than that of other methods. Thus, our method showed remarkably fast performance.