Research team demonstrates proof-of-concept for quantitative footwear-impression analysis An unidentified presenter described an NIJ- and NIST-funded proof-of-concept that combines human-guided image markup, feature-based matching (a Delaunay-triangulation maximum-clique algorithm) and case-relevant score distributions to give examiners quantitative context for footwear-impression comparisons.

A groundbreaking proof-of-concept system is transforming footwear impression analysis by introducing quantitative measures that could revolutionize forensic science.

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