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Posted May 23, 2019

[vc_row full_width=”stretch_row” css=”.vc_custom_1434538871508{margin-bottom: 0px !important;}”][vc_column width=”1/3″][vc_custom_heading text=”Reproducibility of High Resolution 3D Bullet LEA Scans” font_container=”tag:h2|font_size:16|text_align:center” use_theme_fonts=”yes”][vc_column_text css=”.vc_custom_1558623840401{margin-bottom: 0px !important;}”]

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.

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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.

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[/vc_column_text][/vc_column][/vc_row][vc_row full_width=”stretch_row”][vc_column width=”1/3″][vc_single_image image=”3723″ img_size=”full” css=”.vc_custom_1558624175006{padding-top: 15px !important;}”][/vc_column][vc_column width=”1/3″][vc_custom_heading text=”Developing Methods for Comparison of Cartridge Breechface Images” font_container=”tag:h2|font_size:16|text_align:center” use_theme_fonts=”yes”][vc_column_text css=”.vc_custom_1558623873189{margin-bottom: 0px !important;}”]

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.

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