IEEE Computer Graphics and Applications - Special issue on computer-aided geometric design
Artificial Intelligence - Special volume on computer vision
Synthesizing realistic facial expressions from photographs
Proceedings of the 25th 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
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data
International Journal of Computer Vision
An efficient representation for irradiance environment maps
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Incorporating Illumination Constraints in Deformable Models
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Accurate face models from uncalibrated and Ill-Lit video sequences
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Face recognition under variable lighting using harmonic image exemplars
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Surface measures for accuracy evaluation in 3d face reconstruction
Pattern Recognition
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In this paper, we present a novel method for face reconstruction from multi-posed face images taken under arbitrary unknown illumination conditions. Previous work shows that any face image can be represented by a set of low dimensional parameters: shape parameters, spherical harmonic basis (SHB) parameters, pose parameters and illumination coefficients. Thus, face reconstruction can be performed by recovering the set of parameters from the input images. In this paper, we demonstrate that the shape and SHB parameters can be estimated by minimizing the silhouettes errors and image intensity errors in a fast and robust manner. We propose a new algorithm to detect the corresponding points between the 3D face model and the input images by using silhouettes. We also apply a model-based bundle adjustment technique to perform this minimization. We provide a series of experiments on both synthetic and real data and experimental results show that our method can have an accurate face shape and texture reconstruction.