Fast 3D point cloud ear identification by slice curve matching

Heng Liu; Dapeng Zhang

doi:10.1109/ICCRD.2011.5763900

Fast 3D point cloud ear identification by slice curve matching

Heng Liu, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

Current 3D ear identification methods require capturing ear range image data to work. In this work, based on slice curve matching, a new 3D point cloud ear identification approach is presented. Aiming to acquire 3D point cloud ear data in a low cost way, line structure light data sampling system is also introduced in this work. Experimental results and some comparisons show the comparable advantages in recognition speed and performance of the proposed method over existing range image data ways.

Original language	English
Title of host publication	ICCRD2011 - 2011 3rd International Conference on Computer Research and Development
Pages	224-228
Number of pages	5
Volume	4
DOIs	https://doi.org/10.1109/ICCRD.2011.5763900
Publication status	Published - 31 May 2011
Event	2011 3rd International Conference on Computer Research and Development, ICCRD 2011 - Shanghai, China Duration: 11 Mar 2011 → 15 Mar 2011

Conference

Conference	2011 3rd International Conference on Computer Research and Development, ICCRD 2011
Country/Territory	China
City	Shanghai
Period	11/03/11 → 15/03/11

Keywords

3D point cloud
Ear Identification
slice curve matching

ASJC Scopus subject areas

Computer Science Applications

More information

10.1109/ICCRD.2011.5763900

Cite this

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title = "Fast 3D point cloud ear identification by slice curve matching",

abstract = "Current 3D ear identification methods require capturing ear range image data to work. In this work, based on slice curve matching, a new 3D point cloud ear identification approach is presented. Aiming to acquire 3D point cloud ear data in a low cost way, line structure light data sampling system is also introduced in this work. Experimental results and some comparisons show the comparable advantages in recognition speed and performance of the proposed method over existing range image data ways.",

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AU - Zhang, Dapeng

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AB - Current 3D ear identification methods require capturing ear range image data to work. In this work, based on slice curve matching, a new 3D point cloud ear identification approach is presented. Aiming to acquire 3D point cloud ear data in a low cost way, line structure light data sampling system is also introduced in this work. Experimental results and some comparisons show the comparable advantages in recognition speed and performance of the proposed method over existing range image data ways.

KW - 3D point cloud

KW - Ear Identification

KW - slice curve matching

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U2 - 10.1109/ICCRD.2011.5763900

DO - 10.1109/ICCRD.2011.5763900

M3 - Conference article published in proceeding or book

SN - 9781612848372

VL - 4

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EP - 228

BT - ICCRD2011 - 2011 3rd International Conference on Computer Research and Development

T2 - 2011 3rd International Conference on Computer Research and Development, ICCRD 2011

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ER -

Fast 3D point cloud ear identification by slice curve matching

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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