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SCIA
2007
Springer
114views Image Analysis» more  SCIA 2007»
9 years 8 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
ICIAP
2007
ACM
10 years 2 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
ACIVS
2006
Springer
9 years 8 months ago
Motion Blur Concealment of Digital Video Using Invariant Features
This paper deals with concealment of motion blur in image sequences. The approach is different from traditional methods, which attempt to deblur the image. Our approach utilizes t...
Ville Ojansivu, Janne Heikkilä
PAMI
1998
112views more  PAMI 1998»
9 years 2 months ago
Degraded Image Analysis: An Invariant Approach
—Analysis and interpretation of an image which was acquired by a nonideal imaging system is the key problem in many application areas. The observed image is usually corrupted by ...
Jan Flusser, Tomás Suk
TSMC
2011
292views more  TSMC 2011»
8 years 9 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
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