Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Automated encoding of footwear patterns for fast indexing
Image and Vision Computing
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In this paper, we suggest a solution for the problem of scene-of-crime shoeprints retrieval based on the use of multi-scale Harris points, which are a set of very distinctive points of interest in an image, combined with SIFT descriptor. We show that such combination can overcome the issue of retrieval of partial prints in the presence of scale and rotation distortions with Gaussian noise perturbation. Excellent results were obtained for synthetic scene images, clearly outperforming published results in the literature.