@inproceedings{f3567f54c66e41209707555e8caa903e,
title = "Low frequency response and random feature selection applied to face recognition",
abstract = "A novel method for face recognition based on some biological aspects of infant vision is proposed in this paper. The biological hypotheses of this method are based on the role of the response to low frequencies at early stages, and some conjectures concerning how an infant detects subtle features (stimulating points) from a face. In order to recognize a face from different images of it we make use of a bank of dynamic associative memories (DAM). As the infant vision responds to low frequencies of the signal, a low-filter is first used to remove high frequency components from the image. We then detect subtle features in the image by means of a random feature selection detector. Al last, the network of DAMs is fed with this information for training and recognition. To test the accuracy of the proposal a benchmark of faces is used.",
author = "V{\'a}zquez, {Roberto A.} and Humberto Sossa and Garro, {Beatriz A.}",
year = "2007",
doi = "10.1007/978-3-540-74260-9_73",
language = "Ingl{\'e}s",
isbn = "9783540742586",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "818--830",
booktitle = "Image Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings",
address = "Alemania",
note = "4th International Conference on Image Analysis and Recognition, ICIAR 2007 ; Conference date: 22-08-2007 Through 24-08-2007",
}