Predictive vector quantization of 3-D polygonal mesh geometry by representation of vertices in local coordinate systems
Yükleniyor...
Dosyalar
Tarih
2005
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A large family of lossy 3-D mesh geometry compression schemes operate by predicting the position of each vertex from the coded neighboring vertices and encoding the prediction error vectors. In this work, we first employ entropy constrained extensions of the predictive vector quantization and asymptotically closed loop predictive vector quantization techniques that have been suggested in [3] for coding these prediction error vectors. Then we propose the representation of the prediction error vectors in a local coordinate system with an axis coinciding with the surface normal vector in order to cluster the prediction error vectors around a 2-D subspace. We adopt a least squares approach to estimate the surface normal vector from the non-coplanar, previously coded neighboring vertices. Our simulation results demonstrate that the prediction error vectors can be more efficiently vector quantized by representation in local coordinate systems than in global coordinate systems.
Açıklama
Anahtar Kelimeler
Global coordinate systems, Least squares approach, 2D subspace, Surface normal vector, Closed loop predictive vector quantization techniques, Prediction error vectors, Coded neighboring vertices, Lossy 3D mesh geometry compression schemes, Local coordinate systems, 3D polygonal mesh geometry, Vector quantisation, Prediction theory, Least mean squares methods, Image coding, Least squares approximations, Entropy, Geometry, Vector quantization, Encoding, Vectors, Two dimensional, Three dimensional, Signal processing, Forecasting, Surface normals, Predictive vector quantizations, Prediction errors, Non-coplanar, Mesh geometry, Local coordinate system, Least-squares approach, Global coordinate systems, Closed loops, 3-D polygonal meshes, Mesh simplification, Models, Mesh generation
Kaynak
13th European Signal Processing Conference, EUSIPCO 2005
WoS Q Değeri
Scopus Q Değeri
N/A
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Sayı
Künye
Bayazit, U., Orcay, O., Konur, U., & Gürgen, S. F.(2005). Predictive vector quantization of 3-D polygonal mesh geometry by representation of vertices in local coordinate systems. Paper presented at the 13th European Signal Processing Conference, EUSIPCO 2005, 93-96.
