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SCIA
2007
Springer

Object Recognition Using Frequency Domain Blur Invariant Features

9 years 7 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 the images and are invariant to centrally symmetric blur, such as linear motion or defocus blur as well as linear illumination changes. The features based on the bispectrum are also invariant to translation, and according to our knowledge they are the only combined blur-translation invariants in the frequency domain. We have compared our features to the blur invariants based on image moments in simulated and real experiments. The results show that our features can recognize blurred images better and, in a practical situation, they are faster to compute using FFT.
Ville Ojansivu, Janne Heikkilä
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where SCIA
Authors Ville Ojansivu, Janne Heikkilä
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