SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces

Ajmal Mian; Mohammed Bennamoun; Robyn Owens

SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces

Ajmal Mian, Mohammed Bennamoun, Robyn Owens

Research output: Chapter in Book/Conference paper › Conference paper

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Abstract

The Iterative Closest Point (ICP) algorithm can accurately register and match 3D rigid surfaces. However, when it comes to non-rigid or semi-rigid surfaces such as the human face, the performance of ICP drops significantly. In this paper, we extend the ICP algorithm and propose a Semi-Rigid ICP algorithm which can match and register semi-rigid surfaces. We compare the performance of SRICP and ICP algorithms in a challenging scenario whereby 3D faces under exaggerated facial expressions are matched to 3D faces under neutral expression for recognition. Our results show that the proposed
SRICP algorithm performs significantly better than the original ICP algorithm.

Original language	English
Title of host publication	Proceedings Image and Vision Computing, New Zealand 2006
Editors	Patrice Delmas, John Morris
Place of Publication	New Zealand
Publisher	Image & Vision Computing, New Zealand
Pages	257-262
ISBN (Print)	9780473117924
Publication status	Published - 2006
Event	SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces - Great Barrier Island, N.Z. Duration: 1 Jan 2006 → …

Conference

Conference	SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces
Period	1/01/06 → …

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DP0664228 - Unified Representations of Multimodal Biometrics for Robust Authentication and Identification
Bennamoun, M. & Owens, R.
ARC Discovery Projects
1/01/06 → 31/12/08
Project: Research

Cite this

@inproceedings{649fd9edf0aa41808da36acfeab2e632,

title = "SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces",

abstract = "The Iterative Closest Point (ICP) algorithm can accurately register and match 3D rigid surfaces. However, when it comes to non-rigid or semi-rigid surfaces such as the human face, the performance of ICP drops significantly. In this paper, we extend the ICP algorithm and propose a Semi-Rigid ICP algorithm which can match and register semi-rigid surfaces. We compare the performance of SRICP and ICP algorithms in a challenging scenario whereby 3D faces under exaggerated facial expressions are matched to 3D faces under neutral expression for recognition. Our results show that the proposedSRICP algorithm performs significantly better than the original ICP algorithm.",

author = "Ajmal Mian and Mohammed Bennamoun and Robyn Owens",

year = "2006",

language = "English",

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pages = "257--262",

editor = "Patrice Delmas and John Morris",

booktitle = "Proceedings Image and Vision Computing, New Zealand 2006",

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note = "SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces ; Conference date: 01-01-2006",

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T1 - SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces

AU - Mian, Ajmal

AU - Bennamoun, Mohammed

AU - Owens, Robyn

PY - 2006

Y1 - 2006

N2 - The Iterative Closest Point (ICP) algorithm can accurately register and match 3D rigid surfaces. However, when it comes to non-rigid or semi-rigid surfaces such as the human face, the performance of ICP drops significantly. In this paper, we extend the ICP algorithm and propose a Semi-Rigid ICP algorithm which can match and register semi-rigid surfaces. We compare the performance of SRICP and ICP algorithms in a challenging scenario whereby 3D faces under exaggerated facial expressions are matched to 3D faces under neutral expression for recognition. Our results show that the proposedSRICP algorithm performs significantly better than the original ICP algorithm.

AB - The Iterative Closest Point (ICP) algorithm can accurately register and match 3D rigid surfaces. However, when it comes to non-rigid or semi-rigid surfaces such as the human face, the performance of ICP drops significantly. In this paper, we extend the ICP algorithm and propose a Semi-Rigid ICP algorithm which can match and register semi-rigid surfaces. We compare the performance of SRICP and ICP algorithms in a challenging scenario whereby 3D faces under exaggerated facial expressions are matched to 3D faces under neutral expression for recognition. Our results show that the proposedSRICP algorithm performs significantly better than the original ICP algorithm.

M3 - Conference paper

SN - 9780473117924

SP - 257

EP - 262

BT - Proceedings Image and Vision Computing, New Zealand 2006

A2 - Delmas, Patrice

A2 - Morris, John

PB - Image & Vision Computing, New Zealand

CY - New Zealand

T2 - SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces

Y2 - 1 January 2006

ER -

SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces

Abstract

Conference

Access to Document

DP0664228 - Unified Representations of Multimodal Biometrics for Robust Authentication and Identification

Cite this