Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Segmenting Hands of Arbitrary Color
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Improvement of Panorama-Based Annotation Overlay Using Omnidirectional Vision and Inertial Sensors
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
ISWC '01 Proceedings of the 5th IEEE International Symposium on Wearable Computers
The Hand Mouse: GMM Hand-Color Classication and Mean Shift Tracking
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Journal of Cognitive Neuroscience
An event-driven wearable systems for supporting pit-crew and audiences on motorbike races
Journal of Mobile Multimedia
Bimanual natural user interaction for 3D modelling application using stereo computer vision
Proceedings of the 13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction
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In this paper, we discuss the development of wearable systems which we collectively term VizWear. Vision plays an important role in both people's and computers' understanding of contexual information, and the use of augmented reality (AR) techniques is a good way to show information intuitively. This is the basis of our research on wearable computer vision and visualization systems. Our wearable systems enable us to run different vision tasks in real-time. We describe a novel approach not only to sensing the wearer's position and direction, but also to displaying video frames overlaid with 2-D annotations related to the wearer's view. We have also developed a method for 3-D graphical overlay by applying object recognition techniques and the Hand Mouse, which enables the wearer to interact directly with an AR environment. We also describe an efficient method of face registration using wearable active vision.