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3-D object recognition from 2-d view
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Abstract
This thesis presents two methods that can be used in recognizing 3-D objects from 2-D views. Those are the methods that use either the affine invariant Fourier descriptors and or the cross-ratio descriptors. The performance of affine invariant Fourier descriptors in recognizing 3-D objects is invariant under translation, rotation, scaling and shear distortion. However, it cannot cope with perspective distortion. On the other hand, the cross-ratio descriptors' performance is more than satisfactory under all those conditions including perspective distortion.
This thesis also presents the simulation results applying the cross-ratio descriptors to the six simple 3-D objects which are individually different but in general quite similar.
Item Type: | Thesis - Unspecified |
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Authors/Creators: | Lukas, Samuel |
Copyright Holders: | The Author |
Copyright Information: | Copyright 1993 the Author - The University is continuing to endeavour to trace the copyright |
Additional Information: | Thesis (MTech)--University of Tasmania, 1993. Includes bibliographical references |
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