Classification of 3D models for the 3D animation environments

He Yuesheng; Yuan Yan Tang

doi:10.1109/ICSMC.2009.5346642

Classification of 3D models for the 3D animation environments

He Yuesheng^*
, Yuan Yan Tang

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

6 Citations (Scopus)

Abstract

Classification the 3D models in the graphical environment is a key problem with applications in computer graphics, virtual reality, especially the iatelligeat virtual human for Humanoid Animation. The challenging aspects of this problem are to find a suitable shapes' feature that can be used to compare them quickly and a proper method to classify the models on the features. We propose a method of classifying shapes' features for surface-based 3D shape models based oa their shape similarity. The features of shape of 3D models are computed by first converting an input surface based model into an oriented point set model and then computing features histograms of distance and Shape Distributions. Then, Support Vector Machines (SVM) are used to classify the features of the models. By the classification the models can be given semantic meanings in the 3D environment.

Original language	English
Title of host publication	Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Publisher	IEEE
Pages	3786-3791
Number of pages	6
ISBN (Electronic)	9781424427949
ISBN (Print)	9781424427932
DOIs	https://doi.org/10.1109/ICSMC.2009.5346642
Publication status	Published - 11 Oct 2009
Event	2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, United States Duration: 11 Oct 2009 → 14 Oct 2009

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Conference

Conference	2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Country/Territory	United States
City	San Antonio, TX
Period	11/10/09 → 14/10/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

3D model
Animation
Computer graphics
Shape
SVM
Virtual human

Access to Document

10.1109/ICSMC.2009.5346642

Cite this

@inproceedings{6a7c670bf80149da952db9f007db392f,

title = "Classification of 3D models for the 3D animation environments",

abstract = "Classification the 3D models in the graphical environment is a key problem with applications in computer graphics, virtual reality, especially the iatelligeat virtual human for Humanoid Animation. The challenging aspects of this problem are to find a suitable shapes' feature that can be used to compare them quickly and a proper method to classify the models on the features. We propose a method of classifying shapes' features for surface-based 3D shape models based oa their shape similarity. The features of shape of 3D models are computed by first converting an input surface based model into an oriented point set model and then computing features histograms of distance and Shape Distributions. Then, Support Vector Machines (SVM) are used to classify the features of the models. By the classification the models can be given semantic meanings in the 3D environment.",

keywords = "3D model, Animation, Computer graphics, Shape, SVM, Virtual human",

author = "He Yuesheng and Tang, \{Yuan Yan\}",

note = "Publisher copyright: {\textcopyright} 2009 IEEE; 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 ; Conference date: 11-10-2009 Through 14-10-2009",

year = "2009",

month = oct,

day = "11",

doi = "10.1109/ICSMC.2009.5346642",

language = "English",

isbn = "9781424427932",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

publisher = "IEEE",

pages = "3786--3791",

booktitle = "Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009",

address = "United States",

}

Yuesheng, H & Tang, YY 2009, Classification of 3D models for the 3D animation environments. in Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, IEEE, pp. 3786-3791, 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009, San Antonio, TX, United States, 11/10/09. https://doi.org/10.1109/ICSMC.2009.5346642

Classification of 3D models for the 3D animation environments. / Yuesheng, He; Tang, Yuan Yan.
Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009. IEEE, 2009. p. 3786-3791 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Classification of 3D models for the 3D animation environments

AU - Yuesheng, He

AU - Tang, Yuan Yan

PY - 2009/10/11

Y1 - 2009/10/11

N2 - Classification the 3D models in the graphical environment is a key problem with applications in computer graphics, virtual reality, especially the iatelligeat virtual human for Humanoid Animation. The challenging aspects of this problem are to find a suitable shapes' feature that can be used to compare them quickly and a proper method to classify the models on the features. We propose a method of classifying shapes' features for surface-based 3D shape models based oa their shape similarity. The features of shape of 3D models are computed by first converting an input surface based model into an oriented point set model and then computing features histograms of distance and Shape Distributions. Then, Support Vector Machines (SVM) are used to classify the features of the models. By the classification the models can be given semantic meanings in the 3D environment.

AB - Classification the 3D models in the graphical environment is a key problem with applications in computer graphics, virtual reality, especially the iatelligeat virtual human for Humanoid Animation. The challenging aspects of this problem are to find a suitable shapes' feature that can be used to compare them quickly and a proper method to classify the models on the features. We propose a method of classifying shapes' features for surface-based 3D shape models based oa their shape similarity. The features of shape of 3D models are computed by first converting an input surface based model into an oriented point set model and then computing features histograms of distance and Shape Distributions. Then, Support Vector Machines (SVM) are used to classify the features of the models. By the classification the models can be given semantic meanings in the 3D environment.

KW - 3D model

KW - Animation

KW - Computer graphics

KW - Shape

KW - SVM

KW - Virtual human

UR - https://www.scopus.com/pages/publications/74849133744

U2 - 10.1109/ICSMC.2009.5346642

DO - 10.1109/ICSMC.2009.5346642

M3 - Conference proceeding

AN - SCOPUS:74849133744

SN - 9781424427932

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 3786

EP - 3791

BT - Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009

PB - IEEE

T2 - 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009

Y2 - 11 October 2009 through 14 October 2009

ER -

Classification of 3D models for the 3D animation environments

Abstract

Publication series

Conference

UN SDGs

User-Defined Keywords

Access to Document

Other files and links

Fingerprint

Cite this