Vertex saliency computation from 3D facial meshes

Yaochen Li; Yuehu Liu; Xiao Huang; Ming Hou; Yang Yang

doi:10.1109/ISAS.2011.5960963

Vertex saliency computation from 3D facial meshes

Yaochen Li
, Yuehu Liu
, Xiao Huang
, Ming Hou
, Yang Yang

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

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

Abstract

This paper presents a novel method to compute vertex saliency from 3D facial meshes. Among the many descriptors for vertices, Spin-image correlation and curvature are used based on competition and cooperation mechanisms. The proposed method has been tested on the IAIR-3Dface Database for evaluating the generated salient regions on 3D facial meshes. Experimental results demonstrate that both the abundance ratio and accuracy of the salient regions can be improved by the cooperation mechanisms compared to the competition mechanisms.

Original language	English
Title of host publication	Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011
Pages	283-287
Number of pages	5
DOIs	https://doi.org/10.1109/ISAS.2011.5960963
State	Published - 2011
Event	2011 1st International Symposium on Access Spaces, ISAS 2011 - Yokohama, Japan Duration: 17 Jun 2011 → 19 Jun 2011

Publication series

Name	Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011

Conference

Conference	2011 1st International Symposium on Access Spaces, ISAS 2011
Country/Territory	Japan
City	Yokohama
Period	17/06/11 → 19/06/11

Keywords

competition and cooperation
facial meshes
feature descriptor
vertex saliency

Access to Document

10.1109/ISAS.2011.5960963

Cite this

@inproceedings{72197075967c40b58c1208c1e04c1577,

title = "Vertex saliency computation from 3D facial meshes",

abstract = "This paper presents a novel method to compute vertex saliency from 3D facial meshes. Among the many descriptors for vertices, Spin-image correlation and curvature are used based on competition and cooperation mechanisms. The proposed method has been tested on the IAIR-3Dface Database for evaluating the generated salient regions on 3D facial meshes. Experimental results demonstrate that both the abundance ratio and accuracy of the salient regions can be improved by the cooperation mechanisms compared to the competition mechanisms.",

keywords = "competition and cooperation, facial meshes, feature descriptor, vertex saliency",

author = "Yaochen Li and Yuehu Liu and Xiao Huang and Ming Hou and Yang Yang",

year = "2011",

doi = "10.1109/ISAS.2011.5960963",

language = "英语",

isbn = "9781457707179",

series = "Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011",

pages = "283--287",

booktitle = "Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011",

note = "2011 1st International Symposium on Access Spaces, ISAS 2011 ; Conference date: 17-06-2011 Through 19-06-2011",

}

Li, Y, Liu, Y, Huang, X, Hou, M & Yang, Y 2011, Vertex saliency computation from 3D facial meshes. in Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011., 5960963, Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011, pp. 283-287, 2011 1st International Symposium on Access Spaces, ISAS 2011, Yokohama, Japan, 17/06/11. https://doi.org/10.1109/ISAS.2011.5960963

Vertex saliency computation from 3D facial meshes. / Li, Yaochen; Liu, Yuehu; Huang, Xiao et al.
Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011. 2011. p. 283-287 5960963 (Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011).

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

TY - GEN

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AU - Liu, Yuehu

AU - Huang, Xiao

AU - Hou, Ming

AU - Yang, Yang

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Y1 - 2011

N2 - This paper presents a novel method to compute vertex saliency from 3D facial meshes. Among the many descriptors for vertices, Spin-image correlation and curvature are used based on competition and cooperation mechanisms. The proposed method has been tested on the IAIR-3Dface Database for evaluating the generated salient regions on 3D facial meshes. Experimental results demonstrate that both the abundance ratio and accuracy of the salient regions can be improved by the cooperation mechanisms compared to the competition mechanisms.

AB - This paper presents a novel method to compute vertex saliency from 3D facial meshes. Among the many descriptors for vertices, Spin-image correlation and curvature are used based on competition and cooperation mechanisms. The proposed method has been tested on the IAIR-3Dface Database for evaluating the generated salient regions on 3D facial meshes. Experimental results demonstrate that both the abundance ratio and accuracy of the salient regions can be improved by the cooperation mechanisms compared to the competition mechanisms.

KW - competition and cooperation

KW - facial meshes

KW - feature descriptor

KW - vertex saliency

UR - https://www.scopus.com/pages/publications/80051814632

U2 - 10.1109/ISAS.2011.5960963

DO - 10.1109/ISAS.2011.5960963

M3 - 会议稿件

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SN - 9781457707179

T3 - Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011

SP - 283

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BT - Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011

T2 - 2011 1st International Symposium on Access Spaces, ISAS 2011

Y2 - 17 June 2011 through 19 June 2011

ER -

Vertex saliency computation from 3D facial meshes

Abstract

Publication series

Conference

Keywords

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