IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and accurate active appearance models
VisHCI '06 Proceedings of the HCSNet workshop on Use of vision in human-computer interaction - Volume 56
2D vs. 3D Deformable Face Models: Representational Power, Construction, and Real-Time Fitting
International Journal of Computer Vision
Multi-View AAM Fitting and Construction
International Journal of Computer Vision
Multi-View AAM Fitting and Construction
International Journal of Computer Vision
Real-time facial expression recognition using STAAM and layered GDA classifier
Image and Vision Computing
Toward fully automated face pose estimation
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
HandPuppet3D: Motion capture and analysis for character animation
Artificial Intelligence Review
Video-based face model fitting using Adaptive Active Appearance Model
Image and Vision Computing
A review of active appearance models
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Model-based stereo with occlusions
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Cluster-based distributed face tracking in camera networks
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Enhanced Local Subspace Affinity for feature-based motion segmentation
Pattern Recognition
A globally optimal approach for 3D elastic motion estimation from stereo sequences
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Markerless reconstruction and synthesis of dynamic facial expressions
Computer Vision and Image Understanding
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
What is the average human face?
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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In this paper we study the relationship between multiview Active Appearance Model (AAM) fitting and camera calibration. In the first part of the paper we propose an algorithm to calibrate the relative orientation of a set of N 1 cameras by fitting an AAM to sets of N images. In essence, we use the human face as a (non-rigid) calibration grid. Our algorithm calibrates a set of 2 脳 3 weak-perspective camera projection matrices, projections of the world coordinate system origin into the images, depths of the world coordinate system origin, and focal lengths. We demonstrate that the performance of this algorithm is comparable to a standard algorithm using a calibration grid. In the second part of the paper we show how calibrating the cameras improves the performance of multi-view AAM fitting.