Title
Biologically Motivated Feature Extraction Using The Spiral Architecture
Abstract
We present a biologically motivated approach to fast feature extraction on hexagonal pixel based images using the concept of eye tremor in combination with the use of the spiral architecture and convolution of non-overlapping gradient masks. We generate seven feature maps "a-trous" that can be combined into a single complete feature map, and we demonstrate that this approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table on hexagonal images.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6116077
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Keywords
Field
DocType
hexagonal images, spiral architecture, eye tremor
Computer vision,Architecture,Spiral,Pattern recognition,Convolution,Computer science,Biomimetics,Image processing,Feature extraction,Artificial intelligence,Pixel,Ocular tremor
Conference
ISSN
Citations 
PageRank 
1522-4880
3
0.49
References 
Authors
4
3
Name
Order
Citations
PageRank
Bryan W. Scotney167082.50
Sonya Coleman221636.84
Bryan Gardiner3288.31