Date of Graduation
Master of Science in Computer Engineering (MSCmpE)
Computer Science & Computer Engineering
Second Committee Member
3D Reconstruction, Image Processing
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.
Gunn, Kevin Curtis, "Software Porting of a 3D Reconstruction Algorithm to Razorcam Embedded System on Chip" (2014). Theses and Dissertations. 2142.