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geometry coding for Triangular Mesh Model with Structuring Surrounding Vertices and Connectivity-Oriented Multiresolution Decomposition

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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2011年第4期E94D卷 886-894页

作者： Watanabe, Shuji Kawanaka, Akira Sophia Univ Fac Sci & Technol Tokyo 1028554 Japan

In this paper, we propose a novel coding scheme for the geometry of the triangular mesh model. The geometry coding schemes can be classified into two groups: schemes with perfect reconstruction property that maintains their connectivity, and schemes without it in which the remeshing procedure is performed to change the mesh to semi-regular or regular mesh. The former schemes have good coding performance at higher coding rate, while the latter give excellent coding performance at lower coding rate. We propose a geometry coding scheme that maintains the connectivity and has a perfect reconstruction property. We apply a method that successively structures on 2-D plane the surrounding vertices obtained by expanding vertex sequences neighboring the previous layer. Non-separable component decomposition is applied, in which 2-D structured data are decomposed into four components depending on whether their location was even or odd on the horizontal and vertical axes in the 2-D plane. And a prediction and update are performed for the decomposed components. In the prediction process the predicted value is obtained from the vertices, which were not processed, neighboring the target vertex in the 3-D space. And the zero-tree coding is introduced in order to remove the redundancies between the coefficients at similar positions in different resolution levels. SFQ (Space-Frequency Quantization) is applied, which gives the optimal combination of coefficient pruning for the descendant coefficients of each tree element and a uniform quantization for each coefficient. Experiments applying the proposed method to several polygon meshes of different resolutions show that the proposed method gives a better coding performance at lower bit rate when compared to the conventional schemes.

关键词： polygonal mesh multiresolution decomposition 2-D structuring geometry data coding space-frequency quantization

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Compression of Structured 3-D Model geometry with Multiresolution Decomposition by Decoded Coefficient Prediction

Compression of Structured 3-D Model Geometry with Multiresol...

引用

12th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Hisano, Yuki Amano, Masayuki Kawanaka, Akira Sophia Univ Facul Sci & Technol Chiyoda Ku Tokyo 102 Japan

ISBN: (纸本)9781467356046

In this paper, we propose a new compression method for geometry data of 3-D mode using decoded coefficient prediction based on the structuring of surrounding vertices. We have proposed the structuring procedure of surrounding 3-D vertices on a 2-D plane to obtain 2-D structured geometry data. In this paper, multiresolution decomposition by decoded coefficient prediction decomposes structured geometry data in consideration of correlations between adjacent vertices. The decomposition processing gives four components in one step according to where each vertex is located in the structured geometry data and the prediction is performed. In the prediction process, the predicted value is obtained from decoded coefficients of the processed vertices adjacent to the target vertex in the polygonal mesh. Experimental results show that the proposed method gives better coding performance, in particular at higher coding rates, than conventional coding methods.

关键词： Polygonal mesh 2-D structuring Multiresolution decomposition geometry data coding Decoded coefficients prediction

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MULTIRESOLUTION DECOMPOSITION FOR TRIANGULAR MESH geometry coding BASED ON STRUCTURING SURROUNDING VERTICES

MULTIRESOLUTION DECOMPOSITION FOR TRIANGULAR MESH GEOMETRY C...

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16th IEEE International Conference on Image Processing

作者： Watanabe, Shuji Kawanaka, Akira Sophia Univ Fac Sci & Technol Dept Elect & Elect Engn Chiyoda Ku Tokyo 1028554 Japan

ISBN: (纸本)9781424456536

A novel coding method using multiresolution decomposition for triangular mesh is proposed. We have proposed surrounding vertices structuring on a 2-D plane to obtain 2-D structured geometry data. In this paper, nonseparable component decomposition is proposed to decompose the structured geometry data in consideration of correlations among neighboring vertices. The structured data are decomposed into four components depending on whether each vertex was located at even or odd positions along the horizontal and vertical axes. And a prediction and update are performed. In the prediction process the predicted value is obtained from the non-processed vertices neighboring to the target vertex in the 3-D space. By repeating the decomposition process for the update component, octave-decomposed coefficients are obtained. The vector SFQ is introduced to remove redundancies among the coefficients at similar positions in different resolution levels. Experiments showed that the proposed method gave better coding performances comparing to conventional coding schemes.

关键词： Polygonal mesh Multiresolution decomposition 2-D structuring geometry data coding Space-frequency quantization

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