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3D Mesh Approximation Using Vector Quantization

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Computer Recognition Systems 3

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 57))

Summary

We analyze the application of the Vector Quantization (VQ) for approximation of local 3D mesh fragments. Our objective is to investigate distortion resulting from representation of a mesh fragment with a set of symbols. We view this set of symbols as helpful for 3D object retrieval and comparision purposes, however here we focus solely on representation errors. We propose a mesh quantization scheme using Linde-Buzo-Gray (LBG) algorithm with appropriate mesh preprocessing and investigate the impact of codebook creation parameters on quantizer distortion.

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References

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Romaszewski, M., Głomb, P. (2009). 3D Mesh Approximation Using Vector Quantization. In: Kurzynski, M., Wozniak, M. (eds) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93905-4_9

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  • DOI: https://doi.org/10.1007/978-3-540-93905-4_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-93904-7

  • Online ISBN: 978-3-540-93905-4

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