A realtime rendering framework of large dataset environment based on precomputed HLOD

Shuo Gao; Yue Qi; Xu Kun Shen; Yong Hu

doi:10.1109/DMAMH.2007.4414555

A realtime rendering framework of large dataset environment based on precomputed HLOD

Shuo Gao^*
, Yue Qi
, Xu Kun Shen
, Yong Hu

^*Corresponding author for this work

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Realtime rendering of large dataset Environment including a lot of huge dataset models can be challenging. Discrete LOD and Continuous LOD are the traditional methods for preprocessing model data of large dataset Environment. Division granularity of Discrete LOD is coarse while Continuous LOD is complex and time-consuming. A Realtime Rendering Framework of Large Dataset Environment Based on Precomputed HLOD is proposed in this paper. As different granularity and hierarchy is used to divide the model and environment, the details can be improved and the time will be shorter while rendering. A format of HLOD file is proposed as the time for HLOD preprocessing of models can be long, result of preprocessing is saved to make framework more reusable.

Original language	English
Title of host publication	Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007
Pages	212-217
Number of pages	6
DOIs	https://doi.org/10.1109/DMAMH.2007.4414555
State	Published - 2007
Event	2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007 - Chongqing, China Duration: 10 Dec 2007 → 12 Dec 2007

Publication series

Name	Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007

Conference

Conference	2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007
Country/Territory	China
City	Chongqing
Period	10/12/07 → 12/12/07

Keywords

Granularity
HLOD
Precompute
Realtime rendering

Access to Document

10.1109/DMAMH.2007.4414555

Cite this

Gao, S., Qi, Y., Shen, X. K., & Hu, Y. (2007). A realtime rendering framework of large dataset environment based on precomputed HLOD. In Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007 (pp. 212-217). Article 4414555 (Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007). https://doi.org/10.1109/DMAMH.2007.4414555

@inproceedings{822f8b73716e4294a5159ab2d489fc60,

title = "A realtime rendering framework of large dataset environment based on precomputed HLOD",

abstract = "Realtime rendering of large dataset Environment including a lot of huge dataset models can be challenging. Discrete LOD and Continuous LOD are the traditional methods for preprocessing model data of large dataset Environment. Division granularity of Discrete LOD is coarse while Continuous LOD is complex and time-consuming. A Realtime Rendering Framework of Large Dataset Environment Based on Precomputed HLOD is proposed in this paper. As different granularity and hierarchy is used to divide the model and environment, the details can be improved and the time will be shorter while rendering. A format of HLOD file is proposed as the time for HLOD preprocessing of models can be long, result of preprocessing is saved to make framework more reusable.",

keywords = "Granularity, HLOD, Precompute, Realtime rendering",

author = "Shuo Gao and Yue Qi and Shen, \{Xu Kun\} and Yong Hu",

year = "2007",

doi = "10.1109/DMAMH.2007.4414555",

language = "英语",

isbn = "0769530656",

series = "Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007",

pages = "212--217",

booktitle = "Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007",

note = "2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007 ; Conference date: 10-12-2007 Through 12-12-2007",

}

Gao, S, Qi, Y , Shen, XK & Hu, Y 2007, A realtime rendering framework of large dataset environment based on precomputed HLOD. in Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007., 4414555, Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007, pp. 212-217, 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007, Chongqing, China, 10/12/07. https://doi.org/10.1109/DMAMH.2007.4414555

A realtime rendering framework of large dataset environment based on precomputed HLOD. / Gao, Shuo; Qi, Yue ; Shen, Xu Kun et al.
Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007. 2007. p. 212-217 4414555 (Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A realtime rendering framework of large dataset environment based on precomputed HLOD

AU - Gao, Shuo

AU - Qi, Yue

AU - Shen, Xu Kun

AU - Hu, Yong

PY - 2007

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N2 - Realtime rendering of large dataset Environment including a lot of huge dataset models can be challenging. Discrete LOD and Continuous LOD are the traditional methods for preprocessing model data of large dataset Environment. Division granularity of Discrete LOD is coarse while Continuous LOD is complex and time-consuming. A Realtime Rendering Framework of Large Dataset Environment Based on Precomputed HLOD is proposed in this paper. As different granularity and hierarchy is used to divide the model and environment, the details can be improved and the time will be shorter while rendering. A format of HLOD file is proposed as the time for HLOD preprocessing of models can be long, result of preprocessing is saved to make framework more reusable.

AB - Realtime rendering of large dataset Environment including a lot of huge dataset models can be challenging. Discrete LOD and Continuous LOD are the traditional methods for preprocessing model data of large dataset Environment. Division granularity of Discrete LOD is coarse while Continuous LOD is complex and time-consuming. A Realtime Rendering Framework of Large Dataset Environment Based on Precomputed HLOD is proposed in this paper. As different granularity and hierarchy is used to divide the model and environment, the details can be improved and the time will be shorter while rendering. A format of HLOD file is proposed as the time for HLOD preprocessing of models can be long, result of preprocessing is saved to make framework more reusable.

KW - Granularity

KW - HLOD

KW - Precompute

KW - Realtime rendering

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SN - 9780769530659

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BT - Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007

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ER -

Gao S, Qi Y , Shen XK, Hu Y. A realtime rendering framework of large dataset environment based on precomputed HLOD. In Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007. 2007. p. 212-217. 4414555. (Proceedings - 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007). doi: 10.1109/DMAMH.2007.4414555

A realtime rendering framework of large dataset environment based on precomputed HLOD

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Keywords

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