Title
Graph matching with subdivision surfaces for texture synthesis on surfaces
Abstract
Existing texture synthesis-from example strategies for polygon meshes typically make use of three components: a multi-resolution mesh hierarchy that allows the overall nature of the pattern to be reproduced before filling in detail; a matching strategy that extends the synthesized texture using the best fit from a texture sample; and a transfer mechanism that copies the selected portion of the texture sample to the target surface. We introduce novel alternatives for each of these components. Use of √2-subdivision surfaces provides the mesh hierarchy and allows fine control over the surface complexity. Adaptive subdivision is used to create an even vertex distribution over the surface. Use of the graph defined by a surface region for matching, rather than a regular texture neighbourhood, provides for flexible control over the scale of the texture and allows simultaneous matching against multiple levels of an image pyramid created from the texture sample. We use graph cuts for texture transfer, adapting this scheme to the context of surface synthesis. The resulting surface textures are realistic, tolerant of local mesh detail and are comparable to results produced by texture neighbourhood sampling approaches.
Year
DOI
Venue
2006
10.1145/1108590.1108601
Afrigraph
Keywords
Field
DocType
regular texture neighbourhood,resulting surface texture,texture neighbourhood,texture transfer,surface region,2-subdivision surface,surface complexity,existing texture synthesis-from example,synthesized texture,texture sample,graph matching,surface texture,texture synthesis,subdivision surfaces,graph cut,subdivision surface
Computer vision,Projective texture mapping,Texture compression,Image texture,Bidirectional texture function,Computer science,Subdivision surface,Artificial intelligence,Displacement mapping,Texture synthesis,Texture filtering
Conference
ISBN
Citations 
PageRank 
1-59593-288-7
2
0.41
References 
Authors
25
2
Name
Order
Citations
PageRank
Shaun Bangay19717.72
Chantelle Morkel2131.50