Accelerated Calculation of Gabor Features in Spatial Domain
A lot of computer vision tasks are tried to solve by using Gabor features that proved to be very effective feature descriptors. One of the main drawbacks of using Gabor features in real-time practical applications is computational heaviness. Convolution with Gabor filters in frequency domain generates responses of Gabor features at each position in the image and is time consuming operation when Gabor feature consists of tens of Gabor filters. In this article, we introduce the concept of calculating Gabor features at regular grid in the image and show how this together with a generalized separability, symmetry and anti-symmetry of Gabor filter can be exploited to calculate Gabor features in spatial domain even faster than in frequency domain. Ill. 6, bibl.20 (in English; abstracts in English, Russian and Lithuanian).
How to Cite
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.