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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Iterative consolidation on unorganized point clouds and its application in design.

January 2011 (has links)
Chan, Kwan Chung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (leaves 63-69). / Abstracts in English and Chinese. / Abstract --- p.v / Acknowledgements --- p.ix / List of Figures --- p.xiii / List of Tables --- p.xv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Main contributions --- p.4 / Chapter 1.2 --- Overview --- p.4 / Chapter 2 --- Related Work --- p.7 / Chapter 2.1 --- Point cloud processing --- p.7 / Chapter 2.2 --- Model repairing --- p.9 / Chapter 2.3 --- Deformation and reconstruction --- p.10 / Chapter 3 --- Iterative Consolidation on Un-orientated Point Clouds --- p.11 / Chapter 3.1 --- Algorithm overview --- p.12 / Chapter 3.2 --- Down-sampling and outliers removal --- p.14 / Chapter 3.2.1 --- Normal estimation --- p.14 / Chapter 3.2.2 --- Down-sampling --- p.15 / Chapter 3.2.3 --- Particle noise removal --- p.17 / Chapter 3.3 --- APSS based repulsion --- p.19 / Chapter 3.4 --- Refinement --- p.22 / Chapter 3.4.1 --- Adaptive up-sampling --- p.22 / Chapter 3.4.2 --- Selection of up-sampled points --- p.23 / Chapter 3.4.3 --- Sample noise removal --- p.23 / Chapter 3.5 --- Set constraints to sample points --- p.24 / Chapter 4 --- Shape Modeling by Point Set --- p.27 / Chapter 4.1 --- Principle of deformation --- p.27 / Chapter 4.2 --- Selection --- p.29 / Chapter 4.3 --- Stretching and compressing --- p.30 / Chapter 4.4 --- Bending and twisting --- p.30 / Chapter 4.5 --- Inserting points --- p.30 / Chapter 5 --- Results and Discussion --- p.37 / Chapter 5.1 --- Program environment --- p.37 / Chapter 5.2 --- Results of iterative consolidation on un-orientated points --- p.37 / Chapter 5.3 --- Effect of our de-noising based on up-sampled points --- p.44 / Chapter 6 --- Conclusions --- p.49 / Chapter 6.1 --- Advantages --- p.49 / Chapter 6.2 --- Factors affecting our algorithm --- p.50 / Chapter 6.3 --- Possible future works --- p.51 / Chapter 6.3.1 --- Improve on the quality of results --- p.51 / Chapter 6.3.2 --- Reduce user input --- p.52 / Chapter 6.3.3 --- Multi-thread computation --- p.52 / Chapter A --- Finding Neighbors --- p.53 / Chapter A.1 --- k-d Tree --- p.53 / Chapter A.2 --- Octree --- p.54 / Chapter A.3 --- Minimum spanning tree --- p.55 / Chapter B --- Principle Component Analysis --- p.57 / Chapter B.1 --- Principle component analysis --- p.57 / Chapter C --- UI of the program --- p.59 / Chapter C.1 --- User Interface --- p.59 / Chapter D --- Publications --- p.61 / Bibliography --- p.63

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