@inproceedings{598515e90deb4a868234327b3f47d37e,
title = "3D object recognition based on low frequency response and random feature selection",
abstract = "In this paper we propose a view-based method for 3D object recognition based on some biological aspects of infant vision. 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 an object. In order to recognize an object from different images of it (different orientations from 0° to 100°) we make use of a dynamic associative memory (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. Then we detect subtle features in the image by means of a random feature selection detector. At last, the DAM is fed with this information for training and recognition. To test the accuracy of the proposal we use the Columbia Object Image Library (COIL 100) database.",
author = "V{\'a}zquez, {Roberto A.} and Humberto Sossa and Garro, {Beatriz A.}",
year = "2007",
doi = "10.1007/978-3-540-76631-5_66",
language = "Ingl{\'e}s",
isbn = "9783540766308",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "694--704",
booktitle = "MICAI 2007",
address = "Alemania",
note = "6th Mexican International Conference on Artificial Intelligence, MICAI 2007 ; Conference date: 04-11-2007 Through 10-11-2007",
}