Generalization between canonical and non-canonical views in object recognition
Identifieur interne : 001486 ( Pmc/Corpus ); précédent : 001485; suivant : 001487Generalization between canonical and non-canonical views in object recognition
Auteurs : Tandra Ghose ; Zili LiuSource :
- Journal of Vision [ 1534-7362 ] ; 2013.
Abstract
Viewpoint generalization in object recognition is the process that allows recognition of a given 3D object from many different viewpoints despite variations in its 2D projections. We used the canonical view effects as a foundation to empirically test the validity of a major theory in object recognition, the view-approximation model (Poggio & Edelman,
Url:
DOI: 10.1167/13.1.1
PubMed: 23283692
PubMed Central: 3586995
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