VizWear: Toward Human-Centered Interaction through Wearable Vision and Visualization
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Location based applications for mobile augmented reality
AUIC '03 Proceedings of the Fourth Australasian user interface conference on User interfaces 2003 - Volume 18
Real-Time Localisation and Mapping with Wearable Active Vision
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Place recognition system from long-term observations
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Combining monoSLAM with object recognition for scene augmentation using a wearable camera
Image and Vision Computing
Personal information annotation on wearable computer users with hybrid peer-to-peer communication
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Shared annotation database for networked wearable augmented reality system
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Image texts-based navigation for augmented game
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
EGVE'06 Proceedings of the 12th Eurographics conference on Virtual Environments
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In this paper, we describe an improved method of personal positioning and orientation using image registration between input video frames and panoramic images captured beforehand. In our previous work, we proposed the method of image registration with an affine transform. However, the affine transform is generally not capable of image registration between a frame and a panorama. We improved the previous method so that it can estimate projective transform parameters without severely increasing computational cost. We also improved the method to be robust with respect to lighting changes by using the weighted sum of absolute difference of both brightness and its gradient between images. We confirmed that this improved method could estimate image registration parameters under conditions that hindered the previous method. Its computational cost increased by only 10--20% and its software implementation was capable of real-time processing.