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The emergence of visual categories - A computational perspective

Perona, Pietro (2003) The emergence of visual categories - A computational perspective. In: Image Analysis. Lecture Notes in Computer Science. No.2749. Springer , Berlin, pp. 1-3. ISBN 978-3-540-40601-3. https://resolver.caltech.edu/CaltechAUTHORS:20140730-101719319

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Abstract

When we are born we do not know about sailing boats, frogs, cell-phones and wheelbarrows. By the time we reach school age we can easily recognize these categories of objects and many more using our visual system; by some estimates, we learn around 10 new categories per day with minimal supervision during the first few years of our lives. How can this happen? I will outline a computational approach to the problem of representing the visual properties of object categories, and of learning such models without supervision from cluttered images. Both static images of objects and dynamic displays such as the ones generated by human activity are handled by the theory. Its properties will be exemplified with experiments on a variety of categories.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1007/3-540-45103-X_1DOIArticle
ORCID:
AuthorORCID
Perona, Pietro0000-0002-7583-5809
Additional Information:© Springer-Verlag Berlin Heidelberg 2003. First Online: 24 June 2003.
Series Name:Lecture Notes in Computer Science
Issue or Number:2749
Record Number:CaltechAUTHORS:20140730-101719319
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20140730-101719319
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:47614
Collection:CaltechAUTHORS
Deposited By: Caroline Murphy
Deposited On:18 Aug 2014 22:32
Last Modified:03 Oct 2019 06:55

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