On December 15, 2013 Cave Archaeology Investigation and Research Network, or C.A.I.R.N. members Craig Williams, Susie Jansen, Mike and Natalia Tennant, Lindsay Trammell, and Stefanie Voss ventured into Berome Moore Cave with representatives from Transylvania, University in Kentucky to examine and scan prehistoric cat tracks. The trip was led by MMV representative Jim Sherrell. The Transylvania University participants included Dr. Chris Begley (C.A.I.R.N. advisory board member and archaeologist) and engineers Dr. Larry Hassebrook, Bill Gregory, and Michael Schmidt. The purpose of the trip was to test out a prototype underwater/terrestrial 3D portable scanner on prehistoric cat tracks along a mud passage in Berome Moore Cave. Specific cat impressions were selected and scanned using two types of Structured Light scanners. The second scanner sits stationary on a tripod and connected to a computer where images are examined after scanning. Digital 3D scans of the prehistoric cat tracks will allow further examination without impact to the cave or tracks.

Structured light scanning measures the three dimensional shape of an object using projected narrow bands or patterns of light and a camera system then recreating the object in an exact geometric reconstruction. Dr. Hassebrook has spent years designing and building portable 3D scanners. The scanners are cost effective, easily built, and designed for field use. The test in Berome Moore demonstrates their durability and effectiveness for difficult places to get whether underwater or cave passages. Per agreement, copies of the 3D images collected by the scanners will be provided to the MMV. The event was filmed and once all information has been gathered the footage will be posted in a C.A.I.R.N. documentary short.

In an effort to better capture the effort, Enomalies engineers also brought along a 360 degree GoPro rig, designed to output footage capable of display in their Personal Immersion Theater. The video is projected on a wrapped screen in front of the user to give a unique first-person perspective.

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