کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6203418 1603195 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Implicit learning of geometric eigenfaces
ترجمه فارسی عنوان
یادگیری مستمر از خصوصیات هندسی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی سیستم های حسی
چکیده انگلیسی


- Adults implicitly learn the prototype and first two eigenfaces of the studied faces.
- The prototype and eigenfaces are learned more efficiently than the studied faces.
- The learning of the eigenfaces is as strong as the prototype learning.

The human visual system can implicitly extract a prototype of encountered visual objects (Posner & Keele, 1968). While learning a prototype provides an efficient way of encoding objects at the category level, discrimination among individual objects requires encoding of variations among them as well. Here we show that in addition to the prototype, human adults also implicitly learn the feature correlations that capture the most significant geometric variations among faces. After studying a group of synthetic faces, observers mistook as seen previously unseen faces representing the first two principal components (eigenfaces, Turk & Pentland, 1991) of the studied faces at significantly higher rates than the correct recognition of the faces actually studied. Implicit learning of the most significant eigenfaces provides an optimal way for encoding variations among faces. The data thus extend the types of summary statistics that can be implicitly extracted by the visual system to include several principal components.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Vision Research - Volume 99, June 2014, Pages 12-18
نویسندگان
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