Re-projective Pose Estimation of a Planar Prototype
We present an approach for robust pose estimation of a planar prototype. In fact, there are many applications in computer graphics in which camera pose tracking from planar targets is necessary. Unlike many other approaches our method minimizes the Euclidean error to re-projected image points. There is a number of recent pose estimation methods, but all of these algorithms suffer from pose ambiguities. If we know the positions of some points on the plane we can describe the 3D position of the planar prototype as a solution of an optimization problem over two parameters. Based on this formulation we develop a new algorithm for pose estimation of a planar prototype. Its robustness is illustrated by simulations and experiments with real images.
KeywordsPose estimation absolute orientation
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- 1.Grimson, W.: Object Recognition by Computer. MIT Press, Cambridge (1990)Google Scholar
- 2.Malik, S., Roth, G., McDonald, C.: Robust 2D tracking for real-time augmented reality. In: Proc. Conf. Vision Interface, pp. 399–406 (2002)Google Scholar
- 4.Haralick, R., Lee, C., Ottenberg, K., Nolle, M.: Analysis and solutions of the three point perspective pose estimation problem. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 592–598 (1991)Google Scholar
- 10.Zhang, Z.: A Flexible new technique for camera calibration. Technical report, Microsoft Research, Technical Report MSR-TR-98-71 (1998)Google Scholar
- 11.Eberly, D.H.: 3D Game Engine Design. Morgan Kaufmann, San Francisco (2001)Google Scholar
- 12.Pisinger, G., Hanning, T.: Closed form monocular re-projective pose estimation. In: International Conference of Image Processing (ICIP), pp. V–197–200 (2007)Google Scholar
- 14.Faugeras, O.D.: Three-dimensional computer vision. a geometric viewpoint. MIT Press, Cambridge (1993)Google Scholar
- 15.Harris, C., Stephens, M.: A combined corner and edge detector. In: Proc. of the 4th Alvey Vision Conference, pp. 147–151 (1988)Google Scholar