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Appearance preserving octree-textures
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Computer graphics and interactive techniques in Australasia and South East Asia archive
Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia table of contents
Perth, Australia
SESSION: Rendering table of contents
Pages: 87 - 93  
Year of Publication: 2007
ISBN:978-1-59593-912-8
Authors
Julien Lacoste  University of Pau
Tamy Boubekeur  TU Berlin
Bruno Jobard  University of Pau
Christophe Schlick  University of Bordeaux
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

Because of their geometric complexity, high resolution 3D models, either designed in high-end modeling packages or acquired with range scanning devices, cannot be directly used in applications that require rendering at interactive framerates. One clever method to overcome this limitation is to perform an appearance preserving geometry simplification, by replacing the original model with a low resolution mesh equipped with high resolution normal maps. This process visually preserves small scale features from the initial geometry, while only requiring a reduced set of polygons. However, this conversion usually relies on some kind of global or piecewise parameterization, combined with the generation of a texture atlas, a process that is computationally expensive and requires precise user supervision. In this paper, we propose an alternative method in which the normal field of a high resolution model is adaptively sampled and encoded in an octree-based data structure, that we call appearance preserving octree-texture (APO). Our main contributions are: a normal-driven octree generation, a compact encoding and an efficient look-up algorithm. Our method is efficient, totally automatic, and avoids the expensive creation of a parameterization with its corresponding texture atlas.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Julien Lacoste: colleagues
Tamy Boubekeur: colleagues
Bruno Jobard: colleagues
Christophe Schlick: colleagues