Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Texture synthesis over arbitrary manifold surfaces
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Synthesis of bidirectional texture functions on arbitrary surfaces
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive texture synthesis on surfaces using jump maps
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Textureshop: texture synthesis as a photograph editing tool
ACM SIGGRAPH 2004 Papers
Parallel controllable texture synthesis
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2005 Papers
Appearance-space texture synthesis
ACM SIGGRAPH 2006 Papers
Fast example-based surface texture synthesis via discrete optimization
The Visual Computer: International Journal of Computer Graphics
| Hi-index | 0.00 |
This paper presents a parallel texture synthesis over arbitrary surfaces, generating consistent and spatially-varying visual appearances. A novel scaling field is represented to measure the geometry-aware appearance or geometric deformation, therefore the generated textures locally agree with the geometric structure and maintain the coherence during shape deformation. And we compute the Gabor feature space for the 2D exemplars, to determine the k-coherence candidate pixels. Such Gabor feature space is not only low dimensional but capturing multi-resolution texture structures, hence the k-coherence matching guided by Gabor space improves the performance and quality of pixel similarity measurement. We directly apply multi-pass correction for each vertex according to its local neighborhood for order-independent purpose. Experimental results demonstrate that our method produces significantly improved surface textures with parallel performance.