Augmented reality camera tracking with improved natural features

Jing Chen; Yongtian Wang; Yu Li; Wenze Hu; Xiaojun Zang

doi:10.1117/12.791592

5 March 2008 Augmented reality camera tracking with improved natural features

Jing Chen, Yongtian Wang, Yu Li, Wenze Hu, Xiaojun Zang

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 662329 (2008) https://doi.org/10.1117/12.791592
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

A real-time camera tracking algorithm using natural features for augmented reality applications is proposed. The system relied on the passive vision techniques to obtain the camera pose online. A limited number of calibrated key-frames and a rough 3D model of the part of the real environment were required. Accurate camera tracking could be achieved by matching inputting image and the key-frame, whose viewpoint was as close as possible to the current one. Wide baseline correspondence problem was solved by rendering intermediate image. Previous frames information was applied for jitter correction. Algorithm performance was tested by real image sequences. Experimental results demonstrated that our registration algorithm not only was accurate and robust, but also could handle significant aspect changes.

Citation Download Citation

Jing Chen, Yongtian Wang, Yu Li, Wenze Hu, and Xiaojun Zang "Augmented reality camera tracking with improved natural features", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662329 (5 March 2008); https://doi.org/10.1117/12.791592

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KEYWORDS

Cameras

3D modeling

Detection and tracking algorithms

Platinum

3D image processing

Calibration

Augmented reality

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