Chris Mayhew is the CEO of Vision III Imaging, Inc., a company specializing in parallax visualization and image processing technologies for military and entertainment markets, based in Reston, Virginia. He has focused his efforts on the research and development of parallax over time technologies, such as parallax scanning and critical alignment. Mr. Mayhew has extensive experience in project management of new imaging technology research and development. He is responsible for the development of the v3 parallax scanning AX3 ENG zoom lens units, the AX4 digital cinema zoom lens units, the PL-mount MOE prime lenses and the Real Shot live-action camera system. Several leading engineering forums; including the SMPTE Journal, the NAB, and the SPIE proceedings; have published his work. He has received twenty two issued US Patents and is well versed in foreign and domestic patent practices, technology licensing, and business intellectual property issues. Recently he managed the development of the v3 Tools code that automatically converts video imagery into structured geolocated data in real time. v3 Tools is compatible with Esri ArcGIS Software. v3 Tools is a real time mathematical engine that exploits full motion video (FMV) and wide area motion imagery (WAMI) datasets. v3 Tools detects, tracks, locates, counts, classifies, labels scene objects, and generates image chip sequences without any human intervention, and creates a database of this information and attributes (color, motion, speed etc.). The database can be formatted, and objects of interest can be extracted from video frames for training ML and AI applications. Previously he developed an autostereoscopic parallax visualization software toolset for the Air Force Research Laboratory. He also managed the development of the QS3DX GPU accelerated plug-in stereoscopic toolset for Adobe's PP and AE CC.MindShare - Alumni Class of 2001Specialties: Three-dimensional imaging, image perception, small business financing, parallax visualization technologies and image change detection