Nose Tip Detection on a Three-Dimensional Face Range Image Invariant to Head Pose

Wei Jen Chew; Kah Phooi Seng; Li-Minn Ang

Conference paper

Nose Tip Detection on a Three-Dimensional Face Range Image Invariant to Head Pose

Wei Jen Chew, Kah Phooi Seng and Li-Minn Ang

IMECS 2009: International MultiConference of Engineers and Computer Scientists 2009 Proceedings; Volumes I and II, pp.858-862

International MultiConference of Engineers and Computer Scientists , 2009 (18-Mar-2009 - 20-Mar-2009)

Newswood Limited

2009

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Abstract

Nose detection is an important part of a 3D face recognition process. Knowledge of the nose location will enable us to align an unknown 31) face with those in a face database. Besides that, the head pose can be deduced from information obtained from the nose. this paper, a method is proposed to detect the nose tip from a (three-dimensional face range image. This method identifies potential nose tip candidates by investigating the surrounding pixels. The nose tip is then identified from the potential candidates by their mean and variance values as well as (their location which must be within the nose area. The proposed method has the ability to locate the nose tip without any manual input from the user, requires no training and is able to locate the nose tip for faces at different angles.

Details

Title: Nose Tip Detection on a Three-Dimensional Face Range Image Invariant to Head Pose
Authors: Wei Jen Chew (Author) - University of Nottingham
Kah Phooi Seng (Author) - University of Nottingham
Li-Minn Ang (Author) - University of Nottingham
Contributors: Sio-Iong Ao (Editor) - International Association of Engineers
Oscar Castillo (Editor) - Instituto Tecnológico de Tijuana
Craig Douglas (Editor)
David Dagan Feng (Editor)
Jeong A Lee (Editor)
Publication details: IMECS 2009: International MultiConference of Engineers and Computer Scientists 2009 Proceedings; Volumes I and II, pp.858-862
Conference details: International MultiConference of Engineers and Computer Scientists , 2009 (18-Mar-2009 - 20-Mar-2009)
Publisher: Newswood Limited
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99642375702621
Output Type: Conference paper

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