Date of Award
Santa Clara : Santa Clara University, 2016.
Master of Science (MS)
With advancement of research in robotics and computer vision, an increasingly high number of applications require the understanding of a scene in three dimensions. A variety of systems are deployed to do the same. This thesis explores a novel 3D imaging technique. This involves the use of catadioptric cameras in a stereoscopic arrangement. A secondary system aims to stabilize the system in the event that the cameras are misaligned during operation. The system provides a stark advantage due to it being a cost effective alternative to present day standard state-of-the-art systems that achieve the same goal of 3D imaging. The compromise lies in the quality of depth estimation, which can be overcome with a different imager and calibration. The result was a panoramic disparity map generated by the system.
Nair, Ashish, "Panoramic Stereovision and Scene Reconstruction" (2016). Computer Engineering Master's Theses. 2.
Available for download on Wednesday, September 19, 2018