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» Robust Principal Component Analysis for Computer Vision
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MM
2009
ACM
260views Multimedia» more  MM 2009»
14 years 2 months ago
Web image mining towards universal age estimator
In this paper, we present an automatic web image mining system towards building a universal human age estimator based on facial information, which is applicable to all ethnic grou...
Bingbing Ni, Zheng Song, Shuicheng Yan
ICCV
2003
IEEE
14 years 9 months ago
Weighted and Robust Incremental Method for Subspace Learning
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
Danijel Skocaj, Ales Leonardis
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
ICCV
2003
IEEE
14 years 9 months ago
Phenomenological Eigenfunctions for Image Irradiance
We present a framework for calculating low-dimensional bases to represent image irradiance from surfaces with isotropic reflectance under arbitrary illumination. By representing t...
Peter Nillius, Jan-Olof Eklundh
DAGM
2006
Springer
13 years 11 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...