By W. Ketchantang, S. Derrode, S. Bourennane, L. Martin (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)
This e-book constitutes the refereed court cases of the seventh foreign convention on complex strategies for clever imaginative and prescient structures, ACIVS 2005, held in Antwerp, Belgium in September 2005.
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Additional info for Advanced Concepts for Intelligent Vision Systems: 7th International Conference, ACIVS 2005, Antwerp, Belgium, September 20-23, 2005. Proceedings
8. return the best-match selected from the last stage. Multistage Face Recognition Using Adaptive Feature Selection 4 23 Experiments Data Preparation. We used a subset of the FERET face database  for our experiments. The subset contained 1167 face images of 237 persons. We automatically extracted 51 ﬁducial points for each face . For each ﬁducial point p = (x, y)T , we derived a corresponding Gabor jet by convolving a small image patch around the ﬁducial point with a set of Gabor kernels of various frequencies and orientations.
3) classiﬁcation schemes. The rank-N performance statistics is depicted in Fig. 5(a). It can be seen that using the cascaded scheme improves the recognition rate by 4-5% in our experiments. We also implemented a number of well-known face recognition algorithms in literature and compared our approach with them. The results are portrayed by Fig. 5(b), and all algorithms use the same Gabor representation. A brief summary of these algorithms is given as follows. (1) Cosine distance: This is originally used by Wiskott et al.
Szirányi basic features for the matching of the different views. In , a method is reported which finds co-motion point-pairs in the videos as recorded from the same scene by the different cameras. Both these methods assume that the objects of interest are moving on the ground-plane; and also that the cameras are far distant from the scene, so that the height of the moving objects is small enough for them to appear in the recorded videos as “moving blobs on the ground”. In practice, the existing algorithms can be used only in restricted situations.
Advanced Concepts for Intelligent Vision Systems: 7th International Conference, ACIVS 2005, Antwerp, Belgium, September 20-23, 2005. Proceedings by W. Ketchantang, S. Derrode, S. Bourennane, L. Martin (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)