Date of Graduation
8-2014
Document Type
Thesis
Degree Name
Master of Science in Computer Engineering (MSCmpE)
Degree Level
Graduate
Department
Computer Science & Computer Engineering
Advisor/Mentor
Bobda, Christophe
Committee Member
Parkerson, James P.
Second Committee Member
Andrews, David L.
Keywords
3D Reconstruction; Image Processing
Abstract
A method is presented to calculate depth information for a UAV navigation system from Keypoints in two consecutive image frames using a monocular camera sensor as input and the OpenCV library. This method was first implemented in software and run on a general-purpose Intel CPU, then ported to the RazorCam Embedded Smart-Camera System and run on an ARM CPU onboard the Xilinx Zynq-7000. The results of performance and accuracy testing of the software implementation are then shown and analyzed, demonstrating a successful port of the software to the RazorCam embedded system on chip that could potentially be used onboard a UAV with tight constraints of size, weight, and power. The potential impacts will be seen through the continuation of this research in the Smart ES lab at University of Arkansas.
Citation
Gunn, K. C. (2014). Software Porting of a 3D Reconstruction Algorithm to Razorcam Embedded System on Chip. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/2142
Included in
Computer and Systems Architecture Commons, Numerical Analysis and Scientific Computing Commons
