IEEE Computer Graphics and Applications
A new simple and efficient antialiasing with subpixel masks
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Rendering from compressed textures
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Feline: fast elliptical lines for anisotropic texture mapping
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
HWWS '99 Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Texture synthesis over arbitrary manifold surfaces
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
SPAF: sub-texel precision anisotropic filtering
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Digital Image Warping
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Texram: A Smart Memory for Texturing
IEEE Computer Graphics and Applications
Texture and Shape Synthesis on Surfaces
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
Tile-based texture mapping on graphics hardware
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Silhouette maps for improved texture magnification
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Hybrid triangle-based sub-texel precision anisotropic filtering for mobile devices
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
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Anisotropic filtering has been developed as a way of increasing the quality of texture mapping. However, a real hard-ware implementation of anisotropic filters implies approximations and simplifications that result in lower quality. In this paper we present a new, efficient hardware oriented anisotropic filtering technique. Specifically, the new algorithm we propose is based on the utilisation of a new distance computation method. This distance generation scheme permits simplification of the algorithm without reducing its quality. Additionally, a classification procedure for the identification of the position of each texel inside the footprint is proposed. This simple procedure permits the reduction of the computational requirements associated with the algorithm. We also present a new method for the computation of the coverage of a texel, based on the storage of a reduced set of possible coverage patterns. The new distance scheme obtains the patterns of all texels from a given texel through simple shift operations. The good quality results obtained with the filtering algorithm we propose, together with the low computational and storage requirements of the architecture we present, makes it a good candidate for hardware implementation.