Optimising Perceived Distortion in Lossy Encoding of Dynamic Meshes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43899271" target="_blank" >RIV/49777513:23520/11:43899271 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Optimising Perceived Distortion in Lossy Encoding of Dynamic Meshes

Popis výsledku v původním jazyce

Development of geometry data compression techniques in the past years has been limited by the lack of a metric with proven correlation with human perception of mesh distortion. Many algorithms have been proposed, but usually the aim has been to minimisemean squared error, or some of its derivatives. In the field of dynamic mesh compression, the situation has changed with recent proposal of the STED metric, which has been shown to capture the human perception of mesh distortion much better than previousmetrics. In this paper we show how existing algorithms can be steered to provide optimal results with respect to this metric, and we propose a novel dynamic mesh compression algorithm, based on trajectory space PCA and Laplacian coordinates, specifically designed to minimise the newly proposed STED error. Our experiments show that using the proposed algorithm, we were able to reduce the required data rate by up to 50% while preserving the introduced STED error.

Název v anglickém jazyce

Optimising Perceived Distortion in Lossy Encoding of Dynamic Meshes

Popis výsledku anglicky

Development of geometry data compression techniques in the past years has been limited by the lack of a metric with proven correlation with human perception of mesh distortion. Many algorithms have been proposed, but usually the aim has been to minimisemean squared error, or some of its derivatives. In the field of dynamic mesh compression, the situation has changed with recent proposal of the STED metric, which has been shown to capture the human perception of mesh distortion much better than previousmetrics. In this paper we show how existing algorithms can be steered to provide optimal results with respect to this metric, and we propose a novel dynamic mesh compression algorithm, based on trajectory space PCA and Laplacian coordinates, specifically designed to minimise the newly proposed STED error. Our experiments show that using the proposed algorithm, we were able to reduce the required data rate by up to 50% while preserving the introduced STED error.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/LC06008" target="_blank" >LC06008: Centrum počítačové grafiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

COMPUTER GRAPHICS FORUM

ISSN

0167-7055

e-ISSN

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Svazek periodika

30

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

1439-1449

Kód UT WoS článku

000293524100008

EID výsledku v databázi Scopus

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