Title:
Image-Driven Mesh Optimization

dc.contributor.author Lindstrom, Peter
dc.contributor.author Turk, Greg
dc.date.accessioned 2004-10-19T17:05:35Z
dc.date.available 2004-10-19T17:05:35Z
dc.date.issued 2000
dc.description.abstract We describe a method of improving the appearance of a low vertex count mesh in a manner that is guided by rendered images of the original, detailed mesh. This approach is motivated by the fact that greedy simplification methods often yield meshes that are poorer than what can be represented with a given number of vertices. Our approach relies on edge swaps and vertex teleports to alter the mesh connectivity, and uses the downhill simplex method to simultaneously improve vertex positions and surface attributes. Note that this is not a simplification method--the vertex count remains the same throughout the optimization. At all stages of the optimization the changes are guided by a metric that measures the differences between rendered versions of the original model and the low vertex count mesh. This method creates meshes that are geometrically faithful to the original model. Moreover, the method takes into account more subtle aspects of a model such as surface shading or whether cracks are visible between two interpenetrating parts of the model. en
dc.format.extent 410525 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/3426
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-00-16
dc.subject Optimization en
dc.subject Polygonal simplification en
dc.subject Image metrics en
dc.subject Visual perception en
dc.title Image-Driven Mesh Optimization en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Turk, Greg
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isAuthorOfPublication 1361247d-c446-453b-8b4a-8e87c3d4210b
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
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