Abstract
In face recognition, where high-dimensional representation spaces are generally used, it is very important to take advantage of all the available information. In particular, many labelled facial images will be accumulated while the recognition system is functioning, and due to practical reasons some of them are often discarded. In this paper, we propose an algorithm for using this information. The algorithm has the fundamental characteristic of being incremental. On the other hand, the algorithm makes use of a combination of classification results for the images in the input sequence. Experiments with sequences obtained with a real person detection and tracking system allow us to analyze the performance of the algorithm, as well as its potential improvements.
Work partially funded by DGUI-Gobierno de Canarias PI2000/042 and PI1999/153, and UE/DGES 1FD97-1580-C02-02 research projects.
Supported by the research grant D260/54066308-R of Universidad de Las Palmas de Gran Canaria.
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Déniz, O., Castrillón, M., Lorenzo, J., Hernández, M. (2002). An Incremental Learning Algorithm for Face Recognition. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds) Biometric Authentication. BioAW 2002. Lecture Notes in Computer Science, vol 2359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47917-1_1
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DOI: https://doi.org/10.1007/3-540-47917-1_1
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