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» Object recognition using graph spectral invariants
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SCIA
2007
Springer
114views Image Analysis» more  SCIA 2007»
14 years 1 months ago
Object Recognition Using Frequency Domain Blur Invariant Features
In this paper, we propose novel blur invariant features for the recognition of objects in images. The features are computed either using the phase-only spectrum or bispectrum of th...
Ville Ojansivu, Janne Heikkilä
CAIP
2007
Springer
107views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Object Recognition by Implicit Invariants
Abstract. The use of traditional moment invariants is limited to a certain set of simple geometric transforms, such as rotation, scaling and affine transform. This paper presents a...
Jan Flusser, Jaroslav Kautsky, Filip Sroubek
SSPR
1998
Springer
13 years 12 months ago
Object Recognition from Large Structural Libraries
This paper presents a probabilistic similarity measure for object recognition from large libraries of line-patterns. We commence from a structural pattern representation which use...
Benoit Huet, Edwin R. Hancock
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 8 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICASSP
2007
IEEE
14 years 2 months ago
An Affine Invariant Function using PCA Bases with an Application to Within-Class Object Recognition
The problem of shape-based recognition of objects under affine transformations is considered. We focus on the construction of a robust and highly discriminative affine invariant...
Georgios Tzimiropoulos, Nikolaos Mitianoudis, Tani...