{"id":3530,"date":"2019-03-13T12:41:58","date_gmt":"2019-03-13T17:41:58","guid":{"rendered":"https:\/\/bluerockdesigns.info\/?post_type=portfolio&p=3530"},"modified":"2020-07-07T11:11:33","modified_gmt":"2020-07-07T16:11:33","slug":"similarity-of-two-dimensional-images-an-application-to-the-forensic-comparison-of-shoe-outsole-impressions","status":"publish","type":"portfolio","link":"https:\/\/forensicstats.org\/blog\/portfolio\/similarity-of-two-dimensional-images-an-application-to-the-forensic-comparison-of-shoe-outsole-impressions\/","title":{"rendered":"Similarity of Two-Dimensional Images: An application to the forensic comparison of shoe outsole impressions"},"content":{"rendered":"

This CSAFE Center Wide webinar was presented on March 11, 2019 by Dr. Soyoung Park, CSAFE Post Doctoral researcher at Iowa State University. Dr. Park has provided presentation slides<\/a>.<\/p>\n

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Presentation Description:<\/strong><\/p>\n

Shoe outsole prints are often found in crime scenes.\u00a0 If a suspect is apprehended and her shoes are potential sources of the prints in the crime scene, how might a forensic scientist go about quantifying the degree of similarity between the two?\u00a0 As is the case for most other types of pattern evidence, quantifying the similarity between two impressions is challenging.\u00a0 The traditional statistical modeling approach is not appropriate in these cases, so we turn to\u00a0learning algorithms\u00a0<\/em>as a potential alternative. In this talk, we discuss a method that compares two dimensional images, one of a latent crime scene print, and one of a known shoe, and produces a score that quantifies the degree of similarity between the two.\u00a0 \u00a0The method we have developed is promising, because it appears to correctly determine with high probability whether two images have a common or a different source, at least for the shoes on which we have experimented.<\/p>\n