Deblocking for dynamic triangle meshes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43896525" target="_blank" >RIV/49777513:23520/12:43896525 - 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

Deblocking for dynamic triangle meshes

Popis výsledku v původním jazyce

Static and animated triangle meshes are ubiquitous as model representations in computer graphics applications. In recent years, the level of detail of such data has increased dramatically, motivating the development of efficient compression techniques. Similarly to image and audio compression, precision loss is tolerated in many compression scenarios, where a human observer is the final consumer of the data. Previous research has shown that mesh segmentation (clustering) is a useful tool, which improvescompression performance. On the other hand, per-partes processing of meshes often leads to new types of artifacts - cracks and shifts on the borders between clusters. These artifacts are detected by both, Human Visual System (HVS) and perceptually-motivated distortion metrics. In this paper, we present a novel post processing algorithm, which aims at reducing such artifacts without needing any additional data - using only information about the cluster distribution that is already presen

Název v anglickém jazyce

Deblocking for dynamic triangle meshes

Popis výsledku anglicky

Static and animated triangle meshes are ubiquitous as model representations in computer graphics applications. In recent years, the level of detail of such data has increased dramatically, motivating the development of efficient compression techniques. Similarly to image and audio compression, precision loss is tolerated in many compression scenarios, where a human observer is the final consumer of the data. Previous research has shown that mesh segmentation (clustering) is a useful tool, which improvescompression performance. On the other hand, per-partes processing of meshes often leads to new types of artifacts - cracks and shifts on the borders between clusters. These artifacts are detected by both, Human Visual System (HVS) and perceptually-motivated distortion metrics. In this paper, we present a novel post processing algorithm, which aims at reducing such artifacts without needing any additional data - using only information about the cluster distribution that is already presen

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

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

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

VISIGRAPP 2012 : 7th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

ISBN

978-989-8565-02-0

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

48-57

Název nakladatele

SciTePress

Místo vydání

Setúbal

Místo konání akce

Řím

Datum konání akce

24. 2. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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