Biography | Publications

Christopher Greco received his B.S. and M.S. in Electrical Engineering from Brigham Young University in 2006 and 2008, respectively. He performed research in the field of computer vision in BYU's Robotic Vision Lab. One of his responsibilities included leading a team of students and faculty to develop an autonomous (self-driving) minivan for the DARPA Urban Challenge, while implementing most of the vision algorithms for road and obstacle detection. Later, he joined the Urban Challenge team from the University of Utah, performing most of the image processing for their team, which competed in the National Qualifying Event in Victorville, CA. His research with the Urban Challenge served as the basis for his thesis, entitled "Real-Time Forward Urban Environment Perception for an Autonomous Ground Vehicle Using Computer Vision and LIDAR".

During his time at BYU, Christopher worked as a consultant for Smart Vision Works, LLC, implementing a date sorting algorithm for a processing plant in Arizona.  After completing his M.S., Christopher worked as a contractor with the Visualization and Computer Vision lab at the GE Global Research Center in Niskayuna, NY.  There he collaborated on various projects, including video-based moving object superresolution and crowd monitoring.

Christopher joined Kitware in April 2009 where he is currently involved as an R&D Engineer for the Computer Vision team.

Publications