International Journal of Computer Vision
Interacting with paper on the DigitalDesk
Communications of the ACM - Special issue on computer augmented environments: back to the real world
Tangible bits: towards seamless interfaces between people, bits and atoms
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Bridging physical and virtual worlds with electronic tags
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Augmented surfaces: a spatially continuous work space for hybrid computing environments
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Fast Tracking of Hands and Fingertips in Infrared Images for Augmented Desk Interface
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
FaceSpace: endo- and exo-spatial hypermedia in the transparent video facetop
Proceedings of the fifteenth ACM conference on Hypertext and hypermedia
Evaluation of an on-line adaptive gesture interface with command prediction
GI '05 Proceedings of Graphics Interface 2005
EnhancedTable: supporting a small meeting in ubiquitous and augmented environment
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
UCS'04 Proceedings of the Second international conference on Ubiquitous Computing Systems
Advanced paper document in a projection display
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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Identification of objects in a real world plays a key role for human-computer interaction in a computer-augmented environment using augmented reality techniques. For providing natural interaction in such environments, it is necessary for an interface system to know which objects a user is using. In the previously developed interface systems, real objects are identified by using specially designed tags attached to objects. In this work, we propose a new method for interactive object recognition and registration for more natural and intuitive interaction without using any tags. In particular, we introduce interactive object registration and recognition by combining direct manipulation with user's hands and a color-based object recognition algorithm.