Range determination from translational motion blur

Date
1993
Authors
Makkad, Satwinderpal
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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.
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Thesis (Ph. D.)--University of Hawaii at Manoa, 1993.
Microfiche.
ix, 109 leaves, bound 29 cm
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Theses for the degree of Doctor of Philosophy (University of Hawaii at Manoa). Mechanical Engineering; no. 2961
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