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ERIC Number: EJ921403
Record Type: Journal
Publication Date: 2011-Jun
Pages: 16
Abstractor: As Provided
Reference Count: N/A
ISSN: ISSN-0010-0277
Superordinate Shape Classification Using Natural Shape Statistics
Wilder, John; Feldman, Jacob; Singh, Manish
Cognition, v119 n3 p325-340 Jun 2011
This paper investigates the classification of shapes into broad natural categories such as "animal" or "leaf". We asked whether such coarse classifications can be achieved by a simple statistical classification of the shape skeleton. We surveyed databases of natural shapes, extracting shape skeletons and tabulating their parameters within each class, seeking shape statistics that effectively discriminated the classes. We conducted two experiments in which human subjects were asked to classify novel shapes into the same natural classes. We compared subjects' classifications to those of a naive Bayesian classifier based on the natural shape statistics, and found good agreement. We conclude that human superordinate shape classifications can be well understood as involving a simple statistical classification of the shape skeleton that has been "tuned" to the natural statistics of shape.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A