Morlet Wavelet Based Human Head and Face Boundary Extraction

Liming Zhang; Patrick Madeleine Lenders

Morlet Wavelet Based Human Head and Face Boundary Extraction

Liming Zhang
, Patrick Madeleine Lenders

School of Science & Technology

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

Abstract

This paper presents a novel approach to extract human head boundary in plain background image using 2D Morlet continuous wavelet transform. Continuous wavelet transform and discrete wavelet transform have their specific properties so that their specific field of applications. In this paper we utilize the rich edge information provided by the continuous wavelet transform in various directions to extract the head boundary, and then fuse those information to get the final result. An algorithm for face boundary extraction is also described in this paper. Effectiveness of the proposed method is shown by our tests with Yale Face Database.

Original language	English
Title of host publication	Proceedings of the 5th Asian Conference on Computer Vision: ACCV 2002
Editors	Suter D, Bab-Hadiashar A
Place of Publication	Tokyo, Japan
Publisher	Asian Federation of Computer Vision Societies
Pages	801-806
ISBN (Print)	0958025606
Publication status	Published - 2002
Event	ACCV 2002: 5th Asian Conference on Computer Vision - Melbourne, Australia Duration: 22 Jan 2002 → 25 Jan 2002

Conference

Conference	ACCV 2002: 5th Asian Conference on Computer Vision
City	Melbourne, Australia
Period	22/01/02 → 25/01/02

Keywords

Image Processing

Access to Document

https://hdl.handle.net/1959.11/4581

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Cite this

@inproceedings{c42f0133dee64ed68b8b0570669eedb7,

title = "Morlet Wavelet Based Human Head and Face Boundary Extraction",

abstract = "This paper presents a novel approach to extract human head boundary in plain background image using 2D Morlet continuous wavelet transform. Continuous wavelet transform and discrete wavelet transform have their specific properties so that their specific field of applications. In this paper we utilize the rich edge information provided by the continuous wavelet transform in various directions to extract the head boundary, and then fuse those information to get the final result. An algorithm for face boundary extraction is also described in this paper. Effectiveness of the proposed method is shown by our tests with Yale Face Database.",

keywords = "Image Processing",

author = "Liming Zhang and Lenders, \{Patrick Madeleine\}",

year = "2002",

language = "English",

isbn = "0958025606",

pages = "801--806",

editor = "Suter D and Bab-Hadiashar A",

booktitle = "Proceedings of the 5th Asian Conference on Computer Vision: ACCV 2002",

publisher = "Asian Federation of Computer Vision Societies",

note = "ACCV 2002: 5th Asian Conference on Computer Vision ; Conference date: 22-01-2002 Through 25-01-2002",

}

Zhang, L & Lenders, PM 2002, Morlet Wavelet Based Human Head and Face Boundary Extraction. in S D & B-H A (eds), Proceedings of the 5th Asian Conference on Computer Vision: ACCV 2002. Asian Federation of Computer Vision Societies, Tokyo, Japan, pp. 801-806, ACCV 2002: 5th Asian Conference on Computer Vision, Melbourne, Australia, 22/01/02. <https://hdl.handle.net/1959.11/4581>

Morlet Wavelet Based Human Head and Face Boundary Extraction. / Zhang, Liming; Lenders, Patrick Madeleine.
Proceedings of the 5th Asian Conference on Computer Vision: ACCV 2002. ed. / Suter D; Bab-Hadiashar A. Tokyo, Japan: Asian Federation of Computer Vision Societies, 2002. p. 801-806.

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

TY - GEN

T1 - Morlet Wavelet Based Human Head and Face Boundary Extraction

AU - Zhang, Liming

AU - Lenders, Patrick Madeleine

PY - 2002

Y1 - 2002

N2 - This paper presents a novel approach to extract human head boundary in plain background image using 2D Morlet continuous wavelet transform. Continuous wavelet transform and discrete wavelet transform have their specific properties so that their specific field of applications. In this paper we utilize the rich edge information provided by the continuous wavelet transform in various directions to extract the head boundary, and then fuse those information to get the final result. An algorithm for face boundary extraction is also described in this paper. Effectiveness of the proposed method is shown by our tests with Yale Face Database.

AB - This paper presents a novel approach to extract human head boundary in plain background image using 2D Morlet continuous wavelet transform. Continuous wavelet transform and discrete wavelet transform have their specific properties so that their specific field of applications. In this paper we utilize the rich edge information provided by the continuous wavelet transform in various directions to extract the head boundary, and then fuse those information to get the final result. An algorithm for face boundary extraction is also described in this paper. Effectiveness of the proposed method is shown by our tests with Yale Face Database.

KW - Image Processing

UR - http://www.aprs.org.au/accv2002/accv2002_proceedings/Zhang801.pdf

UR - http://trove.nla.gov.au/work/27771989

M3 - Conference contribution

SN - 0958025606

SP - 801

EP - 806

BT - Proceedings of the 5th Asian Conference on Computer Vision: ACCV 2002

A2 - D, Suter

A2 - A, Bab-Hadiashar

PB - Asian Federation of Computer Vision Societies

CY - Tokyo, Japan

T2 - ACCV 2002: 5th Asian Conference on Computer Vision

Y2 - 22 January 2002 through 25 January 2002

ER -

Morlet Wavelet Based Human Head and Face Boundary Extraction

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