A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
The space of human body shapes: reconstruction and parameterization from range scans
ACM SIGGRAPH 2003 Papers
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance-Based Face Recognition and Light-Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Evaluation of Multimodal 2D+3D Face Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition with Image Sets Using Manifold Density Divergence
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Component-based Framework for Face Detection and Identification
International Journal of Computer Vision
Illuminating light field: image-based face recognition across illuminations and poses
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Automatic 3D reconstruction for face recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Video-based face recognition using probabilistic appearance manifolds
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Exploring the identity manifold: constrained operations in face space
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Toward image-based facial hair modeling
Proceedings of the 26th Spring Conference on Computer Graphics
Surface reconstruction of rotating objects from monocular video
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Wide range face pose estimation by modelling the 3D arrangement of robustly detectable sub-parts
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Driving 3D morphable models using shading cues
Pattern Recognition
De-aging high-resolution 3D facial models by example-driven mesh deformation
ACM SIGGRAPH 2012 Posters
Model-based ambient occlusion for inverse rendering
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Bayesian shape from silhouettes
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
Inverse rendering of faces on a cloudy day
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Coregistration: simultaneous alignment and modeling of articulated 3d shape
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
A semi-automated system for accurate gaze coding in natural dyadic interactions
Proceedings of the 15th ACM on International conference on multimodal interaction
3D head pose and gaze tracking and their application to diverse multimodal tasks
Proceedings of the 15th ACM on International conference on multimodal interaction
Bayesian 3D shape from silhouettes
Digital Signal Processing
Robust Bayesian fitting of 3D morphable model
Proceedings of the 10th European Conference on Visual Media Production
3D face sparse reconstruction based on local linear fitting
The Visual Computer: International Journal of Computer Graphics
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Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The power of these models comes at the cost of an expensive and tedious construction process, which has led the community to focus on more easily constructed but less powerful models. With this paper we publish a generative 3D shape and texture model, the Basel Face Model (BFM), and demonstrate its application to several face recognition task. We improve on previous models by offering higher shape and texture accuracy due to a better scanning device and less correspondence artifacts due to an improved registration algorithm. The same 3D face model can be fit to 2D or 3D images acquired under different situations and with different sensors using an analysis by synthesis method. The resulting model parameters separate pose, lighting, imaging and identity parameters, which facilitates invariant face recognition across sensors and data sets by comparing only the identity parameters. We hope that the availability of this registered face model will spur research in generative models. Together with the model we publish a set of detailed recognition and reconstruction results on standard databases to allow complete algorithm comparisons.