Files in this item



application/pdfObject Modelling by Example(2).pdf (79MB)
(no description provided)PDF


Title:Object Modelling by Example
Author(s):Zelinka, Stephen David
Subject(s):computer graphics
Abstract:Modelling by example has arisen as a powerful paradigm for reducing the artistic skill required for computer graphics. Instead of relying on the user's own modelling skills, a system that models by example allows users to reuse the work of others. To date, modelling by example, also known as data-driven modelling, has been mostly limited to the image domain. In this work, we develop a number of methods for modelling 3D objects by example. Jump maps provide fast and flexible reuse of texture imagery in object modelling. Geodesic fans extend the local statistical techniques forming the basis for traditional image-based data-driven methods to 3D surfaces, and directly enable flexible reuse of existing 3D surfaces. We also apply data-driven methods to augment surface editing capabilities, providing new tools for rapid geometry or texture editing and sketch-based 3D object modelling. Finally, as a fundamental operation of any data-driven modelling system is the selection of example data, we develop novel methods for selecting regions or mattes from 3D objects. The resulting methods are very fast, intuitive, and easy to use, and, as selection is a truly fundamental modelling operation, have wide applicability. Thus, we have improved the overall pipeline for modelling objects by example, from sample selection and localization, through novel algorithms for reuse of surface data, to final editing of results.
Issue Date:2005-05
Genre:Technical Report
Other Identifier(s):UIUCDCS-R-2005-2528
Rights Information:You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS:2009-04-17

This item appears in the following Collection(s)

Item Statistics