3-D Mesh geometry compression with set partitioning in the spectral domain
Yükleniyor...
Tarih
2010-02
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE-INST Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper explains the development of a highly efficient progressive 3-D mesh geometry coder based on the region adaptive transform in the spectral mesh compression method. A hierarchical set partitioning technique, originally proposed for the efficient compression of wavelet transform coefficients in high-performance wavelet-based image coding methods, is proposed for the efficient compression of the coefficients of this transform. Experiments confirm that the proposed coder employing such a region adaptive transform has a high compression performance rarely achieved by other state of the art 3-D mesh geometry compression algorithms. A new, high-performance fixed spectral basis method is also proposed for reducing the computational complexity of the transform. Many-to-one mappings are employed to relate the coded irregular mesh region to a regular mesh whose basis is used. To prevent loss of compression performance due to the low-pass nature of such mappings, transitions are made from transform-based coding to spatial coding on a per region basis at high coding rates. Experimental results show the performance advantage of the newly proposed fixed spectral basis method over the original fixed spectral basis method in the literature that employs one-to-one mappings.
Açıklama
Anahtar Kelimeler
Computer graphics, Data compression, Data visualization, Transform coding, Virtual reality, Efficient, Quantization, Error
Kaynak
IEEE Transactions on Circuits and Systems for Video Technology
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
20
Sayı
2
Künye
Bayazit, U., Konur, U. & Ateş, H. F. (2010). 3-D mesh geometry compression with set partitioning in the spectral domain. IEEE Transactions on Circuits and Systems for Video Technology, 16(2), 179-188. doi:10.1109/TCSVT.2009.2026939
