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AF: Small: Topological Graph Theory Revisited: With Applications in Computer Graphics

AF: Small: Topological Graph Theory Revisited: With Applications in Computer Graphics
AF:小:拓扑图论重温:计算机图形学中的应用
批准号:
0917288
负责人:
Jianer Chen
金额:
$38.67万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2013-08-31

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中文摘要
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英文摘要
Recent research in computer graphics has shown that the classical topological graph theory provides a solid mathematical foundation and powerful tool for the development of 3D modeling systems. Despite its initial success, there is still a significant gap between the theoretical research in topological graph theory and its direct applications in computer graphics. In particular, the research in classical topological graph theory has largely neglected geometric issues. Moreover, very recent research has shown exciting connections between graph embeddings on non-orientable surfaces and surface weaving, and demonstrated a need for a refined and extended study in this direction. This proposed research, guided by its applications in computer graphics, will refine and extend the classical topological graph theory in the following two directions: 1. Graph embeddings on orientable surfaces with geometric constraints: This project will re-examine the fundamental issues studied in graph embeddings on orientable surfaces that are related to topologically robust 3D modeling, by considering geometric constraints such as symmetry, planarity and conical properties. Applications of this research include development of topologically robust and highly interactive graphics modeling systems.2. Graph embeddings on non-orientable surfaces and their applications in modeling surface weaving: This project will refine and extend the study on graph embeddings on non-orientable surfaces and the corresponding graph surgery operations, study their relations to 3D modeling, and build a new paradigm of modeling surface weaving. Applications of this research include creating beautiful shapes such as woven basket and topological sculptures.
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Studies on New Algorithmic Techniques for Parameterized Computation
Computational Upper and Lower Bounds via Parameterized Complexity
Parameterized Computation and Applications
Computational Optimization in Collaboration with Mexican Researchers
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