Abstract
Vision is an active process where behaviorally important information is selectively gathered. In this paper we describe an attentive visual recognition model and evaluate a series of attentional strategies for information gathering, and associated scanpath generation, that can be employed. A quantitative evaluation is also provided with the ORL face database. In general, our approach only needs to process 20% of the input images, in contrast with traditional approaches that utilize the entire image.
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© 1999 Springer-Verlag Berlin Heidelberg
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Pessoa, L., Exel, S. (1999). Attentional strategies for object recognition. In: Mira, J., Sánchez-Andrés, J.V. (eds) Foundations and Tools for Neural Modeling. IWANN 1999. Lecture Notes in Computer Science, vol 1606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0098243
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DOI: https://doi.org/10.1007/BFb0098243
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-48771-5
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