Image encoding, labeling, and reconstruction from differential geometry
CVGIP: Graphical Models and Image Processing
On Importance of Nose for Face Tracking
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Nose shape estimation and tracking for model-based coding
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Pose-insensitive nose detection in TOF-scans
Computer Vision and Image Understanding
A multimedia presentation system using a 3D gesture interface in museums
Multimedia Tools and Applications
A High Quality Depth Map Upsampling Method Robust to Misalignment of Depth and Color Boundaries
Journal of Signal Processing Systems
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We describe a facial feature tracker based on the combined range and amplitude data provided by a 3D Time-Of-Flight camera. We use this tracker to implement a head mouse, an alternative input device for people who have limited use of their hands. The facial feature tracker is based on geometric features that are related to the intrinsic dimensionality of multidimensional signals. We show how the position of the nose in the image can be determined robustly using a very simple bounding-box classifier, trained on a set of labelled sample images. Despite its simplicity, the classifier generalises well to subjects that it was not trained on. An important result is that the combination of range and amplitude data dramatically improves robustness compared to a single type of data. The tracker runs in real time at around 30 frames per second. We demonstrate its potential as an input device by using it to control Dasher, an alternative text input tool.