A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Introduction: Learning and Vision at CBCL
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Visual Speech Synthesis by Morphing Visemes
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Trainable videorealistic speech animation
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
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
A Unified Framework for Atlas Matching Using Active Appearance Models
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Recognizing Expressions by Direct Estimation of the Parameters of a Pixel Morphable Model
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Active Appearance Models Revisited
International Journal of Computer Vision
Automatic Construction of Active Appearance Models as an Image Coding Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture design using a simplicial complex of morphable textures
ACM SIGGRAPH 2005 Papers
Non-parametric and light-field deformable models
Computer Vision and Image Understanding
Navigating in a Shape Space of Registered Models
IEEE Transactions on Visualization and Computer Graphics
Multi-View AAM Fitting and Construction
International Journal of Computer Vision
Multi-View AAM Fitting and Construction
International Journal of Computer Vision
Metric Learning for Image Alignment
International Journal of Computer Vision
Improving motion-based object detection by incorporating object-specific knowledge
International Journal of Intelligent Information and Database Systems
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Learning 3D appearance models from video
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Active morphable model: an efficient method for face analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Deformable object modelling and matching
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
A bayesian approach to image-based visual hull reconstruction
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Expression transfer for facial sketch animation
Signal Processing
Facial expression recognition using active appearance model
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
A constrained hybrid optimization algorithm for morphable appearance models
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Continuous regression for non-rigid image alignment
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Continuous Generalized Procrustes analysis
Pattern Recognition
Robotics and Autonomous Systems
Reconstruction of occluded facial images using asymmetrical Principal Component Analysis
Integrated Computer-Aided Engineering
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We describe a flexible model for representing images of objects of a certain class, known a priori, such as faces, and introduce a new algorithm for matching it to a novel image and thereby performing image analysis. We call this model a multidimensional morphable model or just a morphable model. The morphable model is learned from example images (calledprototypes) of objects of a class. In this paper we introduce an effective stochastic gradient descent algorithm that automatically matches a model to a novel image by finding the parameters that minimize the error between the image generated by the model and the novelimage. Two examples demonstrate the robustness and the broad range of applicability of the matching algorithm and the underlying morphable model. Our approach can provide novel solutions to several vision tasks, including the computation of image correspondence, object verification, image synthesis and image compression.