Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
ACM Transactions on Mathematical Software (TOMS)
Mimicing 3D transformations of emotional stylised animation with minimal 2D input
Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
On the Use of Self-Organizing Maps for Clustering and Visualization
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Modeling, Tracking and Interactive Animation of Faces and Heads Using Input from Video
CA '96 Proceedings of the Computer Animation
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Visual Extraction of Motion-Based Information from Image Sequences
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Video textures using the auto-regressive process
ACM SIGGRAPH 2002 conference abstracts and applications
Journal of Visual Languages and Computing
Facial behaviour mapping-From video footage to a robot head
Robotics and Autonomous Systems
Photo-realistic facial expression synthesis
Image and Vision Computing
Emotion recognition using facial expressions with active appearance models
HCI '08 Proceedings of the Third IASTED International Conference on Human Computer Interaction
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Synthesizing mood-affected signed messages: Modifications to the parametric synthesis
International Journal of Human-Computer Studies
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This paper presents a novel technique for the generation of 'video textures' to display human emotion. This is achieved by a method which uses existing video footage to synthesise new sequences of coherent facial expression and head motions.An 'expression space' which is defined by sets of emotion models is constructed using principal components analysis (PCA) and the application of an auto-regressive process (ARP). Using this expression space a tool has been developed which enables this space to be navigated, and to view new video sequences generated from it. This tool provides an intuitive interface, which allows a nonspecialist user easy traversal of the highly dimensional expression space and enables them to select an emotion and automatically generate new facial expression sequences.