Example-Based Terrain Authoring with Complex Features
Abstract
Synthesis of terrains with complex features has been a challenging problem in computer graphics since most of the existing methods are based on the height field representation. Complex features in terrains adds to the overall realism of the terrain. Hence, there is a need to synthesize terrains in real-time with complex features that adhere to user input. The methodology described in this thesis describes a novel way to synthesize terrains with complex features based on user drawn sketches. Layered stack data structure is used to ensure that the resulting terrain has complex features. Since, Neural Networks are used to generate the terrains, the process is real-time.
Degree
M.Sc.
Advisors
McGraw, Purdue University.
Subject Area
Geology|Artificial intelligence|Computer science|Hydraulic engineering
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