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CVPR
2010
IEEE
14 years 24 days ago
Learning to Recognize Shadows in Monochromatic Natural Images
This paper addresses the problem of recognizing shadows from monochromatic natural images. Without chromatic information, shadow classification is very challenging because the in...
Jiejie Zhu, Kegan Samuel, Syed Zain Masood, Marsha...
CVPR
2008
IEEE
14 years 6 months ago
Looking around the backyard helps to recognize faces and digits
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 fro...
Honghao Shan, Garrison W. Cottrell
CAE
2010
12 years 11 months ago
Learning about Shadows from Artists
Renaissance artists discovered methods for imaging realistic depth on a two dimensional surface by re-inventing linear perspective. In solving the problem of depth depiction, they...
Elodie Fourquet
CVPR
2005
IEEE
14 years 6 months ago
A Bayesian Hierarchical Model for Learning Natural Scene Categories
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
Fei-Fei Li 0002, Pietro Perona, California Institu...
ICDAR
2007
IEEE
13 years 11 months ago
A Weighted Finite-State Framework for Correcting Errors in Natural Scene OCR
With the increasing market of cheap cameras, natural scene text has to be handled in an efficient way. Some works deal with text detection in the image while more recent ones poi...
R. Beaufort, Céline Mancas-Thillou