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Matchmaker: constructing constrained texture maps
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Source ACM Transactions on Graphics (TOG) archive
Volume 22 ,  Issue 3  (July 2003) table of contents
Special issue: Proceedings of ACM SIGGRAPH 2003
SESSION: Images, video, and texture table of contents
Pages: 326 - 333  
Year of Publication: 2003
ISSN:0730-0301
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Authors
Vladislav Kraevoy  Technion-Israel Institute of Technology
Alla Sheffer  Technion-Israel Institute of Technology
Craig Gotsman  Technion-Israel Institute of Technology
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 109,   Citation Count: 12
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ABSTRACT

Texture mapping enhances the visual realism of 3D models by adding fine details. To achieve the best results, it is often necessary to force a correspondence between some of the details of the texture and the features of the model.The most common method for mapping texture onto 3D meshes is to use a planar parameterization of the mesh. This, however, does not reflect any special correspondence between the mesh geometry and the texture. The Matchmaker algorithm presented here forces user-defined feature correspondence for planar parameterization of meshes. This is achieved by adding positional constraints to the planar parameterization. Matchmaker allows users to introduce scores of constraints while maintaining a valid one-to-one mapping between the embedding and the 3D surface. Matchmaker's constraint mechanism can be used for other applications requiring parameterization besides texture mapping, such as morphing and remeshing.Matchmaker begins with an unconstrained planar embedding of the 3D mesh generated by conventional methods. It moves the constrained vertices to the required positions by matching a triangulation of these positions to a triangulation of the planar mesh formed by paths between constrained vertices. The matching triangulations are used to generate a new parameterization that satisfies the constraints while minimizing the deviation from the original 3D geometry.


REFERENCES

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CITED BY  12
 
 
 
 
 
 

Collaborative Colleagues:
Vladislav Kraevoy: colleagues
Alla Sheffer: colleagues
Craig Gotsman: colleagues

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