Abstract
This paper introduces a technique for region-based pose tracking without the need to explicitly compute contours. We assume a surface model of a rigid object and at least one calibrated camera view. The goal is to find the pose parameters that optimally fit the model surface to the contour of the object seen in the image. In contrast to conventional contour-based techniques, which acquire the contour to be extracted explicitly from the image, our approach optimizes an energy directly defined on the pose parameters. We show experimental results for rather challenging scenes observed with a monocular and a stereo camera system.
We acknowledge funding by the German Research Foundation under the projects We 2602/5-1 and SO 320/4-2, and the Max-Planck Center for Visual Computing and Communication.
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Schmaltz, C. et al. (2007). Region-Based Pose Tracking. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_8
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DOI: https://doi.org/10.1007/978-3-540-72849-8_8
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