Abstract
In this paper we present a novel analysis-by-synthesis approach for real-time camera tracking in industrial scenarios. The camera pose estimation is based on the tracking of line features which are generated dynamically in every frame by rendering a polygonal model and extracting contours out of the rendered scene. Different methods of the line model generation are investigated. Depending on the scenario and the given 3D model either the image gradient of the frame buffer or discontinuities of the z-buffer and the normal map are used for the generation of a 2D edge map. The 3D control points on a contour are calculated by using the depth value stored in the z-buffer. By aligning the generated features with edges in the current image, the extrinsic parameters of the camera are estimated. The camera pose used for rendering is predicted by a line-based frame-to-frame tracking which takes advantage of the generated edge features. The method is validated and evaluated with the help of ground-truth data as well as real image sequences.
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References
Comport, A., Marchand, E., Pressigout, M., Chaumette, F.: Real-time markerless tracking for augmented reality: the virtual visual servoing framework. IEEE Trans. on Visualization and Computer Graphics 12(4), 615–628 (2006)
Wuest, H., Vial, F., Stricker, D.: Adaptive line tracking with multiple hypotheses for augmented reality. In: ISMAR, pp. 62–69 (2005)
Lowe, D.G.: Robust model-based motion tracking through the integration of search and estimation. International Journal of Computer Vision 8(2), 113–122 (1992)
Bleser, G., Wuest, H., Stricker, D.: Online camera pose estimation in partially known and dynamic scenes. In: ISMAR, pp. 56–65 (2006)
Molton, N.D., Davison, A.J., Reid, I.D.: Locally planar patch features for real-time structure from motion. In: Proc. British Machine Vision Conference (2004)
Vacchetti, L., Lepetit, V., Fua, P.: Combining edge and texture information for real-time accurate 3d camera tracking. In: Proceedings of International Symposium on Mixed and Augmented Reality (ISMAR) (2004)
Rosten, E., Drummond, T.: Fusing points and lines for high performance tracking. In: IEEE International Conference on Computer Vision, pp. 1508–1511. IEEE Computer Society Press, Los Alamitos (2005)
Shi, J., Tomasi, C.: Good features to track. In: CVPR 1994. IEEE Conference on Computer Vision and Pattern Recognition, pp. 593–600. IEEE Computer Society Press, Los Alamitos (1994)
Reitmayr, G., Drummond, T.: Going out: Robust model-based tracking for outdoor augmented reality. In: ISMAR, pp. 109–118 (2006)
Drummond, T., Cipolla, R.: Real-time tracking of complex structures with on-line camera calibration. In: British Machine Vision Conference, pp. 574–583 (1999)
Isenberg, T., Freudenberg, B., Halper, N., Schlechtweg, S., Strothotte, T.: A developer’s guide to silhouette algorithms for polygonal models. IEEE Comput. Graph. Appl. 23(4), 28–37 (2003)
Northrup, J.D., Markosian, L.: Artistic silhouettes: A hybrid approach. In: Proceedings of the First International Symposium on Non-Photorealistic Animation and Rendering (NPAR) for Art and Entertainment (June 2000)
Nienhaus, M., Döllner, J.: Edge-enhancement - an algorithm for real-time non-photorealistic rendering. In: WSCG (2003)
Hertzmann, A.: Introduction to 3d non-photorealistic rendering: Silhouettes and outlines. In: SIGGRAPH 1999, ACM Press, New York (1999)
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© 2007 Springer-Verlag Berlin Heidelberg
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Wuest, H., Wientapper, F., Stricker, D. (2007). Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniques. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_3
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DOI: https://doi.org/10.1007/978-3-540-74272-2_3
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