Superior augmented reality registration by integrating landmark tracking and magnetic tracking
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A Wearable Augmented Reality System Using Positioning Infrastructures and a Pedometer
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Real-time Localization in Outdoor Environments using Stereo Vision and Inexpensive GPS
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Indoor/outdoor pedestrian navigation with an embedded GPS/RFID/self-contained sensor system
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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Recently, there are many researches on location estimation using optical flow, which is a well-known distance estimation method without any infrastructure. However, since the calculation of optical flow needs high computational power, it cannot adapt to high-speed movement. Therefore, in this paper, we propose intra-frame optical flow, which is a new distance estimation method using an interlace camera. It can estimate the high speed moving objects accurately because it uses two successive images with a very short scanning interval extracted from one image captured by an interlace camera. The evaluation result confirmed the effectiveness of our method.