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3-D object recognition from 2-d view

thesis
posted on 2023-05-26, 18:35 authored by Lukas, Samuel
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.

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Copyright 1993 the Author - The University is continuing to endeavour to trace the copyright owner(s) and in the meantime this item has been reproduced here in good faith. We would be pleased to hear from the copyright owner(s). Thesis (MTech)--University of Tasmania, 1993. Includes bibliographical references

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