Title :
Looking around the backyard helps to recognize faces and digits
Author :
Shan, Honghao ; Cottrell, Garrison W.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, La Jolla, CA
Abstract :
Human beings have the ability to learn to recognize a new visual category based on only one or few training examples. Part of this ability might come from the use of knowledge from previous visual experiences. We show that such knowledge can be expressed as a set of ldquouniversalrdquo visual features, which are learned from randomly collected natural scene images. Using these visual features, we have obtained state-of-the-art performance on several classification tasks using a single-layer classifier.
Keywords :
face recognition; image classification; face recognition; natural scene images; single-layer classifier; task classification; visual category; Application software; Computer science; Computer vision; Covariance matrix; Face recognition; Humans; Layout; Pattern recognition; Principal component analysis; Visual system;
Conference_Titel :
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4244-2242-5
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2008.4587631