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» Invariant Image Object Recognition Using Mixture Densities
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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
SCIA
2007
Springer
114views Image Analysis» more  SCIA 2007»
13 years 11 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
BMVC
2000
13 years 6 months ago
Object Recognition using the Invariant Pixel-Set Signature
A new object recognition method, the Invariant Pixel Set Signature (IPSS), is introduced. Objects are represented with a probability density on the space of invariants computed fr...
Jiri Matas, J. Burianek, Josef Kittler
CAIP
2007
Springer
107views Image Analysis» more  CAIP 2007»
13 years 11 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
IJCV
2010
170views more  IJCV 2010»
13 years 3 months ago
Implicit Moment Invariants
Abstract The use of traditional moment invariants in object recognition is limited to simple geometric transforms, such as rotation, scaling and affine transformation of the image...
Jan Flusser, Jaroslav Kautsky, Filip Sroubek