Browse > Article
http://dx.doi.org/10.7583/JKGS.2011.11.4.143

Camera Tracking Method based on Model with Multiple Planes  

Lee, In-Pyo (Dept. of Imaging Science and Arts, GSAIM, Chung-Ang University)
Nam, Bo-Dam (Dept. of Imaging Science and Arts, GSAIM, Chung-Ang University)
Hong, Hyun-Ki (Dept. of Imaging Science and Arts, GSAIM, Chung-Ang University)
Publication Information
Journal of Korea Game Society / v.11, no.4, 2011 , pp. 143-149 More about this Journal
Abstract
This paper presents a novel camera tracking method based on model with multiple planes. The proposed algorithm detects QR code that is one of the most popular types of two-dimensional barcodes. A 3D model is imported from the detected QR code for augmented reality application. Based on the geometric property of the model, the vertices are detected and tracked using optical flow. A clipping algorithm is applied to identify each plane from model surfaces. The proposed method estimates the homography from coplanar feature correspondences, which is used to obtain the initial camera motion parameters. After deriving a linear equation from many feature points on the model and their 3D information, we employ DLT(Direct Linear Transform) to compute camera information. In the final step, the error of camera poses in every frame are minimized with local Bundle Adjustment algorithm in real-time.
Keywords
Augmented Reality; QR code; Camera Tracking; Clipping Algorithm; Direct Linear Transform;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 F. Dornaika and C. Garcia, "Robust camera calibration using 2D to 3D feature correspondences," Optical Science Engineering and Instrumentation, Videometrics V, Volume 3174, 1999.
2 김기백, 이석한, 최종수, "히스토그램 명세화와 칼만 필터를 이용한 급격한 밝기 변화에 강건한 증강현실 시스템," 전자공학회논문지, 제 48권 제 2호, 1-148쪽, 2011년 3월
3 Z. Zhang, "A flexible new technique for camera calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1330-1334, 2000.
4 E. Trucco and A. Verri, "Introductory Techniques for 3-D Computer Vision". Prentice Hall, 1998.
5 K. Kim, V. Lepetit and W. Woo, "Keyframe-based modeling and tracking of multiple 3D objects," Int. Symposium of Mixed and Augmented Reality, 2010.
6 L. Vacchetti, V. Lepetit, and P. Fua, "Stable real-time 3d tracking using online and offline information," IEEE Trans. on PAMI, vol. 26, pp. 1385-1391, 2004.   DOI   ScienceOn
7 R. Freeman and A, "Steed, interactive modelling and tracking for mixed and augmented reality," in Proc. of the ACM symposium on Virtual Reality Software and Technology, 2006.
8 V. Lepetit, P. Lagger and P. Fua, "Randomized trees for real-time keypoint recognition," IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, 2005.
9 J. Y. Bouguet, "Pyramidal implementation of the lucas-kanade feature tracker description of the algorithm," Intel Corporation Microprocessor Research Labs, 2000.
10 T.W. Kan, C.H. Teng and W.S. Chou, "Applying QR code in augmented reality applications," in Proc. of Int. Conf. on Virtual Reality Continuum and its Applications in Industry, 2009.
11 G. Klein and D. Murray, "Parallel tracking and mapping for small AR workspaces," in Proc. of the Conf. on Computer Vision and Augmented Reality, 2007.
12 G. Simon, A. W. Fitzgibbon and A. Zisserman, "Markerless tracking using planar structures in the scene," in Proc. Int. Symposium on Augmented Reality, 2000.