Range determination from translational motion blur

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dc.contributor.authorMakkad, Satwinderpal
dc.date.accessioned2009-07-15T17:59:49Z
dc.date.available2009-07-15T17:59:49Z
dc.date.issued1993
dc.descriptionThesis (Ph. D.)--University of Hawaii at Manoa, 1993.
dc.descriptionMicrofiche.
dc.descriptionix, 109 leaves, bound 29 cm
dc.description.abstractA 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.
dc.identifier.urihttp://hdl.handle.net/10125/9968
dc.language.isoen-US
dc.relationTheses for the degree of Doctor of Philosophy (University of Hawaii at Manoa). Mechanical Engineering; no. 2961
dc.rightsAll 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.
dc.titleRange determination from translational motion blur
dc.typeThesis
dc.type.dcmiText

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Ph.D. - Mechanical Engineering