CVPR
2013
IEEE
11 years 5 months ago
2013
IEEE
The graph Laplacian operator, which originated in spectral graph theory, is commonly used for learning applications such as spectral clustering and embedding. In this paper we expl...
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ICCV
2011
IEEE
13 years 1 months ago
2011
IEEE
We propose a fast pattern matching scheme termed Matching by Tone Mapping (MTM) which allows matching under non-linear tone mappings. We show that, when tone mapping is approximate...
BMVC
2010
13 years 9 months ago
2010
Template matching is a well-proven approach in the area of articulated object tracking. Matching accuracy and computation time of template matching are essential and yet often con...
PAMI
2002
13 years 11 months ago
2002
NIPS
2008
14 years 26 days ago
2008
How does one extract unknown but stereotypical events that are linearly superimposed within a signal with variable latencies and variable amplitudes? One could think of using temp...
DGCI
2008
Springer
14 years 1 months ago
2008
Springer
Abstract. We present a novel template matching framework for detecting geometrically transformed objects. A template is a simplified representation of the object of interest by a s...
BMVC
2002
14 years 1 months ago
2002
One of the most popular methods to extract useful informations from an image sequence is the template matching approach. In this well known method the tracking of a certain featur...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Template matching is a common approach for identifying fluorescent objects within a biological image. But how to decide a threshold value for the purpose of justifying the goodness...
ICAPR
2009
Springer
14 years 4 months ago
2009
Springer
—A representation based on the phase of analytic image is proposed to address the issue of illumination variation in face recognition task. The problem of unwrapping in the compu...
IBPRIA
2005
Springer
14 years 5 months ago
2005
Springer
We present an approach to vision-based person detection in robotic applications that integrates top down template matching with bottom up classifiers. We detect components of the ...