Reproducibility of High Resolution 3D Bullet LEA Scans
First Place: Kiegan Rice, Iowa State University
Learn how CSAFE uses high resolution 3D microscopy to advance image-analysis algorithms for automated comparison of bullet land engraved areas using 2D signatures extracted from 3D scans.
Automatic Identification of Footwear Class Characteristics
Second Place: Miranda Tilton, Iowa State University
CSAFE is using machine learning tools as an inexpensive and efficient way to automatically identify class characteristics of footwear outsole images.
Developing Methods for Comparison of Cartridge Breechface Images
Third Place: Xiao Hui Tai, Carnegie Mellon University
Researchers are developing methods to determine if cartridge cases were fired from the same gun using algorithms to analyzing breechface images.