本文關(guān)鍵詞： 貝葉斯熵編碼 局部坐標(biāo) 分級(jí)跳躍 網(wǎng)格壓縮 漸進(jìn)式 高斯概率模型 邊沿觸發(fā)　出處：《計(jì)算機(jī)應(yīng)用研究》2017年10期 　論文類型：期刊論文

【摘要】：為進(jìn)一步提高三維網(wǎng)格壓縮算法性能,在高斯混合概率模型(GHPM)基礎(chǔ)上,提出基于貝葉斯熵編碼的局部坐標(biāo)分級(jí)跳躍漸進(jìn)式3D網(wǎng)格壓縮算法。采用GHPM模型實(shí)現(xiàn)3D網(wǎng)格壓縮過(guò)程的頂點(diǎn)創(chuàng)建、邊沿觸發(fā)器設(shè)計(jì)、面方向預(yù)測(cè)以及分級(jí)跳躍分割,實(shí)現(xiàn)對(duì)給定頂點(diǎn)的后驗(yàn)概率幾何拓?fù)浞?hào)估計(jì)。基于后驗(yàn)概率的算術(shù)編碼器進(jìn)行拓?fù)浞?hào)編碼,采用不同情景進(jìn)行設(shè)計(jì),提出漸進(jìn)式的標(biāo)簽預(yù)測(cè)過(guò)程,實(shí)現(xiàn)已編碼組信息的充分利用,并采用局部坐標(biāo)系有效壓縮幾何殘差。通過(guò)與對(duì)比編碼器的實(shí)驗(yàn)驗(yàn)證,所提算法相對(duì)于AD、wavemesh、AAD以及RDO編碼器具有更高的壓縮比和壓縮精度,計(jì)算性能更好。
[Abstract]:In order to further improve the performance of 3D mesh compression algorithm, Gao Si hybrid probability model based on GHPM-based. A progressive 3D mesh compression algorithm based on Bayesian Entropy coding is proposed. The vertex creation and edge trigger design of 3D mesh compression process are realized by using GHPM model. The geometric topological symbol estimation of a given vertex is realized by prediction of surface direction and hierarchical jump segmentation. The arithmetic encoder based on posteriori probability encodes topological symbols and designs with different scenarios. A progressive label prediction process is proposed to make full use of the coded group information, and the geometric residuals are effectively compressed using local coordinate system. The experimental results show that the proposed algorithm is relative to AD. The Wavemes AAD and RDO encoders have higher compression ratio and compression accuracy and better computational performance.
【作者單位】： 河南工學(xué)院計(jì)算機(jī)科學(xué)與技術(shù)系;河南師范大學(xué)計(jì)算機(jī)與信息工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(U1404602) 河南省高等學(xué)校重點(diǎn)科研項(xiàng)目(15B520006,15A520063) 河南省教育廳科學(xué)技術(shù)研究重點(diǎn)項(xiàng)目(14A520046)
【分類號(hào)】：TP393.02
【正文快照】： 0引言隨著圖形和互聯(lián)網(wǎng)技術(shù)進(jìn)步,3D網(wǎng)格壓縮成為實(shí)現(xiàn)高效網(wǎng)格模型存儲(chǔ)和傳輸?shù)年P(guān)鍵。三角形網(wǎng)格包含幾何數(shù)據(jù)拓?fù)浣Y(jié)構(gòu)。連通性數(shù)據(jù)用于區(qū)分拓?fù)浣Y(jié)構(gòu)或頂點(diǎn)間的連通信息,而幾何數(shù)據(jù)描述頂點(diǎn)位置。根據(jù)解碼策略,3D網(wǎng)格壓縮可分為單速率和漸進(jìn)式編碼器。前者可讀取完整比特流實(shí)現(xiàn)，

本文編號(hào)：1468818