Title page for ETD etd-05132003-221519


Type of Document Master's Thesis
Author Kee, Eric
Author's Email Address ekee@vt.edu
URN etd-05132003-221519
Title Video Mosaicking Using Ancillary Data to Facilitate Size Estimation
Degree Master of Engineering
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Abbott, A. Lynn Committee Chair
Baker, James M. Jr. Committee Member
Cyre, Walling R. Committee Member
Keywords
  • Computer vision
  • mosaicking
  • image processing
  • mosaicing
Date of Defense 2003-01-17
Availability unrestricted
Abstract
This thesis describes a mosaicking system designed to generate image mosaics that facilitate size estimation of 3-dimensional objects by improving data obtained with a multi-sensor video camera. The multi-sensor camera is equipped with a pulse laser-rangefinder and internally mounted inclinometers that measure instrument orientation about three axes. Using orientation data and video data, mosaics are constructed to reduce orientation data errors by augmenting orientation data with image information. Mosaicking is modeled as a 7-step refinement process: 1) an initial mosaic is constructed using orientation information obtained from the camera's inclinometers; 2) mosaics are refined by using coarse-to-fine processing to minimize an energy metric and, consequently, align overlapping video frames; 3) pair-wise mosaicking errors are detected, and removed, using an energy-based confidence metric; 4) mosaic accuracy is refined via color analysis; 5) mosaic accuracy is refined by estimating an affine transformation to align overlapping frames; 6) affine transformation approximations between overlapping video frames are used to reduce image noise through super-resolution; 7) original orientation data are corrected given the refined orientations of images within the mosaic. The mosaicking system has been tested using objects of known size and orientation accuracy has been improved by 86% for these cases.
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