Please use this identifier to cite or link to this item:

Range determination from translational motion blur

File Description SizeFormat 
uhm_phd_9416063_uh.pdfVersion for UH users1.83 MBAdobe PDFView/Open
uhm_phd_9416063_r.pdfVersion for non-UH users. Copying/Printing is not permitted1.87 MBAdobe PDFView/Open

Item Summary

Title: Range determination from translational motion blur
Authors: Makkad, Satwinderpal
Issue Date: 1993
Abstract: A survey is carried out and the principles of various range sensing techniques are described. A method to determine range from a translationally blurred and a sharp image is presented. To decode the length of blur in the translationally blurred image, three decoding methods; minimization approach, Fourier transform approach, and method-of-slopes, were tested on various images. The results were found to be favorable for the minimization approach and the method-of-slopes. Ringing was encountered with the Fourier transform approach. The minimization approach is iterative and slow. The method-of-slopes was investigated further for the case of inclined plane surfaces and the results were found to be favorable. The method-of slopes can also determine disparity for cylindrical surfaces. A rotating mirror system is described, which simulates camera translation in order to produce a linearly blurred image, in real-time.
Description: Thesis (Ph. D.)--University of Hawaii at Manoa, 1993.
ix, 109 leaves, bound 29 cm
Rights: All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
Appears in Collections:Ph.D. - Mechanical Engineering

Please contact if you need this content in an alternative format.

Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.