Tangible interaction + graphical interpretation: a new approach to 3D modeling
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Feature-based cellular texturing for architectural models
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A Survey of Content Based 3D Shape Retrieval Methods
SMI '04 Proceedings of the Shape Modeling International 2004
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
ACM Transactions on Graphics (TOG)
Discovering structural regularity in 3D geometry
ACM SIGGRAPH 2008 papers
Texture transfer using geometry correlation
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Computer Graphics Forum
Material memex: automatic material suggestions for 3D objects
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Semantizing complex 3D scenes using constrained attribute grammars
SGP '13 Proceedings of the Eleventh Eurographics/ACMSIGGRAPH Symposium on Geometry Processing
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Virtual environments are typically textured by manually choosing an image to apply on each surface. This implies browsing through large sets of generic textures for each and every surface in the scene. We propose to facilitate this long and tedious process. Our algorithm assists the user while he assigns textures to surfaces. Each time an image is chosen for a surface, our algorithm propagates this information throughout the entire environment. Our approach is based on a new surface similarity measure. We exploit this measure in an algorithm ranking all possible textures for a given surface. Hence, we do not simply assign a texture to the surface but also propose an ordered list of choices for the user. In the unavoidable event of an ambiguous choice, the user can quickly make a decision and select the best texture. Our algorithm is fast enough to allow for interactive feedback. Applications range from assisted interactive texturing to fully automatic initial texturing solutions.