No description available.

No description available.

Chen, Yu. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 78-85). / Abstracts in English and Chinese. / Chapter 1 --- Introduction and Related Work --- p.1 / Chapter 1.1 --- Reconstruction from 2D Line Drawings and the Applications --- p.2 / Chapter 1.2 --- Previous Work on 3D Reconstruction from Single 2D Line Drawings --- p.4 / Chapter 1.3 --- Other Related Work on Interpretation of 2D Line Drawings --- p.5 / Chapter 1.3.1 --- Line Labeling and Superstrictness Problem --- p.6 / Chapter 1.3.2 --- CAD Reconstruction --- p.6 / Chapter 1.3.3 --- Modeling from Images --- p.6 / Chapter 1.3.4 --- Identifying Faces in the Line Drawings --- p.7 / Chapter 1.4 --- 3D Modeling Systems --- p.8 / Chapter 1.5 --- Research Problems and Our Contributions --- p.10 / Chapter 1.5.1 --- Recovering Complex Manifold Objects from Line Drawings --- p.10 / Chapter 1.5.2 --- The Vision-based Sketching System --- p.11 / Chapter 2 --- Reconstruction from Complex Line Drawings --- p.13 / Chapter 2.1 --- Introduction --- p.13 / Chapter 2.2 --- Assumptions and Terminology --- p.15 / Chapter 2.3 --- Separation of a Line Drawing --- p.17 / Chapter 2.3.1 --- Classification of Internal Faces --- p.18 / Chapter 2.3.2 --- Separating a Line Drawing along Internal Faces of Type 1 --- p.19 / Chapter 2.3.3 --- Detecting Internal Faces of Type 2 --- p.20 / Chapter 2.3.4 --- Separating a Line Drawing along Internal Faces of Type 2 --- p.28 / Chapter 2.4 --- 3D Reconstruction --- p.44 / Chapter 2.4.1 --- 3D Reconstruction from a Line Drawing --- p.44 / Chapter 2.4.2 --- Merging 3D Manifolds --- p.45 / Chapter 2.4.3 --- The Complete 3D Reconstruction Algorithm --- p.47 / Chapter 2.5 --- Experimental Results --- p.47 / Chapter 2.6 --- Summary --- p.52 / Chapter 3 --- A Vision-Based Sketching System for 3D Object Design --- p.54 / Chapter 3.1 --- Introduction --- p.54 / Chapter 3.2 --- The Sketching System --- p.55 / Chapter 3.3 --- 3D Geometry of the System --- p.56 / Chapter 3.3.1 --- Locating the Wand --- p.57 / Chapter 3.3.2 --- Calibration --- p.59 / Chapter 3.3.3 --- Working Space --- p.60 / Chapter 3.4 --- Wireframe Input and Object Editing --- p.62 / Chapter 3.5 --- Surface Generation --- p.63 / Chapter 3.5.1 --- Face Identification --- p.64 / Chapter 3.5.2 --- Planar Surface Generation --- p.65 / Chapter 3.5.3 --- Smooth Curved Surface Generation --- p.67 / Chapter 3.6 --- Experiments --- p.70 / Chapter 3.7 --- Summary --- p.72 / Chapter 4 --- Conclusion and Future Work --- p.74 / Chapter 4.1 --- Conclusion --- p.74 / Chapter 4.2 --- Future Work --- p.75 / Chapter 4.2.1 --- Learning-Based Line Drawing Reconstruction --- p.75 / Chapter 4.2.2 --- New Query Interface for 3D Object Retrieval --- p.75 / Chapter 4.2.3 --- Curved Object Reconstruction --- p.76 / Chapter 4.2.4 --- Improving the 3D Sketch System --- p.77 / Chapter 4.2.5 --- Other Directions --- p.77 / Bibliography --- p.78

Thesis (Ph. D.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

Thesis (Ph. D.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

Thesis (M. Phil.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 89-92).

No description available.

In 3-dimensional positron emission tomography (PET), the proportion of the detected photon coincidences arising from scatter can be very high, up to 60%. A standard approach to scatter correction in 3D PET is to estimate the scattered coincidences and subtract them from the list of recorded events. More recently, novel techniques have been proposed in which the information carried by the scattered photons was extracted and directly used in the image reconstruction step. In this work, the algorithms were extended for use in non-TOF 3D PET systems and were qualitatively and quantitatively evaluated. Despite some promising initial outcomes, standard performance metrics of images reconstructed with each technique, representing the quality of images, was shown to be deteriorated under specified conditions. Further work is required to investigate potential benefits of the proposed algorithms for both ideal and clinical conditions.

Thesis (Ph. D.)--University of Canterbury, 2007. / Typescript (photocopy). "30 April 2007." Includes bibliographical references (p. [157]-169). Also available via the World Wide Web.

Thesis (Ph. D.)--University of Hong Kong, 2009. / Includes bibliographical references (leaves 91-99) Also available in print.