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» Fractal Transforms and Feature Invariance
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ICIAP
2007
ACM
14 years 5 months ago
A Method for Blur and Similarity Transform Invariant Object Recognition
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
Janne Heikkilä, Ville Ojansivu
CVPR
2012
IEEE
11 years 7 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
JMIV
2008
121views more  JMIV 2008»
13 years 4 months ago
Extension of Moment Features' Invariance to Blur
Moment invariants are features calculated on an image, which do not change their values after a transformation of the image. This paper focuses on the so called combined invariants...
Jirí Boldys, Jan Flusser
CIVR
2005
Springer
154views Image Analysis» more  CIVR 2005»
13 years 10 months ago
A Novel Texture Descriptor Using Over-Complete Wavelet Transform and Its Fractal Signature
In the paper, we proposed a novel feature descriptor using over-complete wavelet transform and wavelet domain based fractal signature for texture image analysis and retrieval. Trad...
Qing Wang, David Dagan Feng