Date Available
6-9-2011
Year of Publication
2011
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College
Engineering
Department
Electrical Engineering
Advisor
Dr. Daniel L. Lau
Abstract
The construction of 3D models of real-world scenes using non-contact methods is an important problem in computer vision. Some of the more successful methods belong to a class of techniques called structured light illumination (SLI). While SLI methods are generally very successful, there are cases where their performance is poor. Examples include scenes with a high dynamic range in albedo or scenes with strong interreflections. These scenes are referred to as optically challenging environments.
The work in this dissertation is aimed at improving SLI performance in optically challenging environments. A new method of high dynamic range imaging (HDRI) based on pixel-by-pixel Kalman filtering is developed. Using objective metrics, it is show to achieve as much as a 9.4 dB improvement in signal-to-noise ratio and as much as a 29% improvement in radiometric accuracy over a classic method. Quality checks are developed to detect and quantify multipath interference and other quality defects using phase measuring profilometry (PMP). Techniques are established to improve SLI performance in the presence of strong interreflections. Approaches in compressed sensing are applied to SLI, and interreflections in a scene are modeled using SLI. Several different applications of this research are also discussed.
Recommended Citation
Dedrick, Eric, "Improving SLI Performance in Optically Challenging Environments" (2011). University of Kentucky Doctoral Dissertations. 161.
https://uknowledge.uky.edu/gradschool_diss/161