Facial feature point tracking based on a graphical model framework
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Summary
The proposed facial feature point tracker is a robust tracker for facial expression sequences in which there are occlusions and arbitrary head movements and has the potential to be useful for tasks such as driver behavior analysis or driver fatigue detection.
- Type
- dissertation
- Published
- 2008-01-01
- Cited by
- 1
- References
- 57
- OpenAlex
- https://openalex.org/W40079835
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:47926824
Keywords
Computer vision, Artificial intelligence, Computer science, Robustness (evolution), Feature (linguistics)
References
- Layout and function of the intracortical connections within the primary visual cortex
- Introduction to random signals and applied kalman filtering (3rd ed
- Introductory techniques for 3-D computer vision
- Learning in Graphical Models
- Facial feature extraction and tracking in video sequences
- Data collection with "UYANIK": too much pain; but gains are coming
- Online appearance-based face and facial feature tracking
- Local motion tracking in semantic-based coding of videophone sequences
- Automatic face cloning and animation using real-time facial feature tracking and speech acquisition
- Graphical Model based Cue Integration Strategy for Head Tracking
- Robust Facial Feature Tracking Under Various Illuminations
- Robust Facial Feature Tracking
- Object tracking: A survey
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Audio-visual integration in multimodal communication
- Video analysis of human dynamics - a survey
- Introduction to Control Theory
- Feature-point tracking by optical flow discriminates subtle differences in facial expression
- A new approach to linear filtering and prediction problems" transaction of the asme~journal of basic
- A robust facial feature tracking system
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