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Abstract: In this article we want to introduce first the Gabor wavelet network as a model based approach for an effective and efficient object representation. The Gabor wavelet network has several advantages such as invariance to some degree with respect to translation, rotation and dilation. Furthermore, the use of Gabor filters ensured that geometrical and textural object features are encoded. The feasibility of the Gabor filters as a model for local object features ensures a considerable data... (Update)
Context of citations to this paper: More
...but also precise. A variety of tracking approaches already exists [6, 2, 1] In this work, we will use Gabor Wavelet Networks (GWNs) [4, 5] in order to represent the face to be tracked. It is worth saying that we have already discussed a GWN based realtime tracking method in...
...and twenty tracked feature points. However, the estimation accuracy was found to degrade as the rotation angle increased. Kruger et al. [20] used computationally intensive elastic graph matching to locate and estimate the pose of faces. The graphs consisted of connected nodes of...
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BibTeX entry: (Update)
V. Kr uger, S. Bruns, and G. Sommer. Efficient head pose estimation with gabor wavelet networks. In Proc. British Machine Vision Conference, Bristol, UK, Sept. 12-14, 2000. http://citeseer.ist.psu.edu/article/uger00efficient.html More
@misc{ uger00efficient,
author = "V. uger and S. Bruns and G. Sommer",
title = "Efficient head pose estimation with gabor wavelet networks",
text = "V. Kr uger, S. Bruns, and G. Sommer. Efficient head pose estimation with
gabor wavelet networks. In Proc. British Machine Vision Conference, Bristol,
UK, Sept. 12-14, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/article/uger00efficient.html" }
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