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» Highly Discriminative Invariant FEatures for Image Matching
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ICIAP
2009
ACM
16 years 2 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
ICIP
2009
IEEE
14 years 11 months ago
Virtual resolution enhancement of scale invariant textured images using stochastic processes
We present a new method of magnification for textured images featuring scale invariance properties. The procedure preserves the visual aspect as well as the statistical properties...
Emilie Koenig, Pierre Chainais
ICISP
2010
Springer
15 years 3 months ago
Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis
Abstract. Gabor wavelet-based methods have been widely used to extract representative features for face analysis. However, the existing methods usually suffer from high computation...
Tianqi Zhang, Bao-Liang Lu
ICPR
2008
IEEE
16 years 3 months ago
Harris feature vector descriptor (HFVD)
A new image feature called Harris feature vector is defined in this paper, which effectively describes the image gradient distribution. By computing the mean and the standard devi...
Xuguang Wang, Fuchao C. Wu, Zhiheng Wang
ESANN
2001
15 years 3 months ago
Canonical correlation analysis in early vision processing
This paper illustrates how canonical correlation analysis can be used for designing efficient visual operators by learning. The approach is highly task oriented and what constitute...
Magnus Borga, Hans Knutsson