Postprocessing of compressed 3D graphic data by using subdivision

Ka Man Cheang; Jiankun Li; C.-C. Jay Kuo

doi:10.1117/12.323204

1 October 1998 Postprocessing of compressed 3D graphic data by using subdivision

Ka Man Cheang, Jiankun Li, C.-C. Jay Kuo

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Proceedings Volume 3460, Applications of Digital Image Processing XXI; (1998) https://doi.org/10.1117/12.323204
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

In this work, we present a postprocessing technique applied to a 3D graphic model of a lower resolution to obtain a visually more pleasant representation. Our method is an improved version of the Butterfly subdivision scheme developed by Zorin et al. Our main contribution is to exploit the flatness information of local areas of a 3D graphic model for adaptive refinement. Consequently, we can avoid unnecessary subdivision in regions which are relatively flat. The proposed new algorithm not only reduces the computational complexity but also saves the storage space. With the hierarchical mesh compression method developed by Li and Kuo as the baseline coding method, we show that the postprocessing technique can greatly improve the visual quality of the decoded 3D graphic model.

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Ka Man Cheang, Jiankun Li, and C.-C. Jay Kuo "Postprocessing of compressed 3D graphic data by using subdivision", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); https://doi.org/10.1117/12.323204

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