Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Invariant features for 3-D gesture recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Depth silhouettes for gesture recognition
Pattern Recognition Letters
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Real time object recognition using K-nearest neighbor in parametric eigenspace
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Network-Based face recognition system using multiple images
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Object recognition using k-nearest neighbor in object space
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
A study on object recognition technology using PCA in the variable illumination
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
The study on internet-based face recognition system using PCA and MMD
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
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User-friendly Human-Computer interaction becomes more important accordance with rapid development of various information systems. In this paper we describe a three-dimensional gesture recognition algorithm and a system that adopts the algorithm for non-contact human-computer interaction. From sequence of stereo images, five feature regions are extracted with simple color segmentation algorithm and then those are used for three dimensional locus calculation processing. However, the result is not so stable, noisy, that we introduce principal component analysis method to get more robust gesture recognition results. This method can overcome the weakness of conventional algorithms since it directly uses three-dimensional information for human gesture recognition.