Video Mosaicking Using Ancillary Data to Facilitate Size Estimation

dc.contributor.authorKee, Ericen
dc.contributor.committeechairAbbott, A. Lynnen
dc.contributor.committeememberCyre, Walling R.en
dc.contributor.committeememberBaker, James M. Jr.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:36:36Zen
dc.date.adate2003-06-04en
dc.date.available2014-03-14T20:36:36Zen
dc.date.issued2003-01-17en
dc.date.rdate2003-06-04en
dc.date.sdate2003-05-13en
dc.description.abstractThis 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.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05132003-221519en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05132003-221519/en
dc.identifier.urihttp://hdl.handle.net/10919/32693en
dc.publisherVirginia Techen
dc.relation.haspartKeeThesis.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectComputer visionen
dc.subjectmosaickingen
dc.subjectimage processingen
dc.subjectmosaicingen
dc.titleVideo Mosaicking Using Ancillary Data to Facilitate Size Estimationen
dc.typeThesisen
thesis.degree.disciplineComputer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
KeeThesis.pdf
Size:
4.84 MB
Format:
Adobe Portable Document Format

Collections