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Three-dimensional interpretation of an imperfect line drawing.

by Leung Kin Lap. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1996. / Includes bibliographical references (leaves 70-72). / ACKNOWLEDGEMENTS --- p.I / ABSTRACT --- p.II / TABLE OF CONTENTS --- p.III / TABLE OF FIGURES --- p.IV / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Contributions of the thesis --- p.2 / Chapter 1.2 --- Organization of the thesis --- p.4 / Chapter Chapter 2 --- Previous Work --- p.5 / Chapter 2.1 --- An overview of 3-D interpretation --- p.5 / Chapter 2.1.1 --- Multiple-View Clues --- p.5 / Chapter 2.1.2 --- Single-View Clues --- p.6 / Chapter 2.2 --- Line Drawing Interpretation --- p.7 / Chapter 2.2.1 --- Qualitative Interpretation --- p.7 / Chapter 2.2.2 --- Quantitative Interpretation --- p.10 / Chapter 2.3 --- Previous Methods of Quantitative Interpretation by Optimization --- p.12 / Chapter 2.3.1 --- Extremum Principle for Shape from Contour --- p.12 / Chapter 2.3.2 --- MSDA Algorithm --- p.14 / Chapter 2.4 --- Comments on Previous Work on Line Drawing Interpretation --- p.17 / Chapter Chapter 3 --- An Iterative Clustering Procedure for Imperfect Line Drawings --- p.18 / Chapter 3.1 --- Shape Constraints --- p.19 / Chapter 3.2 --- Problem Formulation --- p.20 / Chapter 3.3 --- Solution Steps --- p.25 / Chapter 3.4 --- Nearest-Neighbor Clustering Algorithm --- p.37 / Chapter 3.5 --- Discussion --- p.38 / Chapter Chapter 4 --- Experimental Results --- p.40 / Chapter 4.1 --- Synthetic Line Drawings --- p.40 / Chapter 4.2 --- Real Line Drawing --- p.42 / Chapter 4.2.1 --- Recovery of real images --- p.42 / Chapter Chapter 5 --- Conclusion and Future Work --- p.65 / Appendix A --- p.67 / Chapter A. 1 --- Gradient Space Concept --- p.67 / Chapter A. 2 --- Shading of images --- p.69 / Appendix B --- p.70

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_321490
Date January 1996
ContributorsLeung, Kin Lap., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
PublisherChinese University of Hong Kong
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, iv, 72 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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