[행사] 10.15(금) 수학과 colloquium 안내
- 자연과학대학교학팀
- 이서안
- 작성일 2021-10-14
- 조회수 1943
안녕하세요. 수학과입니다.
10/15 (금) 에 열리는 수학과 colloquium(기초과학연구소,자율운영중점연구소 사업)에 대해 안내드립니다.
많은 관심과 참여 요청드립니다.
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*연사: 박소영 (부산대학교)
*일시: 10월 15일(금) 5:00~6:00 pm
*방법: Zoom 활용 온라인 강연회
*제목: Data Science in Forensic Application
*초록:
Footwear examiners are tasked with comparing an outsole impression (Q) left at a crime scene with an impression (K) from a database or from the suspect's shoe. We propose a method for comparing two shoe outsole impressions, that relies on robust features (SURF) on each impression and aligns them using a maximum clique (MC). After alignment, an algorithm we denote MC-COMP is used to extract additional features that are then combined into a univariate similarity score using a random forest (RF). We use a database of shoe outsole impressions that includes images from two models of athletic shoes that were purchased new and then worn by study participants for about six months. The shoes share class characteristics such as outsole pattern and size, and thus the comparison is challenging. We find that the RF implemented on SURF outperforms other methods recently proposed in the literature in terms of classification precision. In more realistic scenarios where crime scene impressions may be degraded and smudged, the algorithm we propose -- denoted MC-COMP-SURF -- shows the best classification performance by detecting unique features better than other methods. The algorithm can be implemented with the R package shoeprintr.
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