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CSAFE April 2018 Center Wide Webinar
April 27 @ 12:00 pm - 1:00 pm
CSAFE invites researchers, collaborators, and members of the broader forensics and statistics communities to participate in the January Center Wide Webinar on Friday, April 27 at 12:00 pm CST. We will have a short introduction from CSAFE Director Alicia Carriquiry followed by the presentation “Statistical and computational tools for automated matching of footwear class characteristics” by Dr. Charless Fowlkes, CSAFE researcher and associate professor of computer science from University of California, Irvine.
Please register for the event by clicking the button above. Participating instructions will be sent to registered participants via email prior to the event.
We investigate the problem of automatically determining shoe outsole class characteristics from crime scene impression evidence using computer vision and machine learning techniques. This problem can be formulated as an image retrieval task: given a photo of crime scene evidence, return a ranked list of matching candidates from a database of reference prints. I will describe our approach to automatically extracting tread pattern features using convolutional neural nets and discuss how these features can be robustly compared across images using normalized correlation measures. This framework can be tuned automatically from training data and currently produces state-of-the-art matching performance on benchmark evaluations. Finally, I will discuss some of the challenges in assembling and maintaining a comprehensive database of reference tread patterns.