Representation of local geometry in the visual system
Biological Cybernetics
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Shape Matching and Object Recognition Using Low Distortion Correspondences
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Invariance properties of Gabor filter-based features-overview and applications
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a novel feature descriptor based on Gabor filters, called Topological Gabor Descriptor. We build a filter bank in such a way that the descriptors are invariant to rotation and scale changes. The filter bank topology enables a simple matching scheme based on the circular shift of descriptors. We evaluate the effectiveness of our approach to feature description in an object/scene recognition setting. The descriptors were evaluated with synthetic and real images. The performance of the descriptors was measured by computing the average matching rate. Our experiments with synthetic data show a robust invariance property for a high degree of rotation and scale variations. Our experimental results shows a 93.50% matching rate for synthetic images subjected to rotation. The matching rate for a scale variation of up to two times the original scale is 81.11%. The methods discussed in this paper were also tested on three different datasets of real images of buildings where we obtained an average matching rate of 41.33%.