Iterative three-dimensional head pose estimation using a face normal vector

Sunjin Yu, Joongrock Kim, Sang Youn Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The performance of face recognition systems has much been burdened by head pose variation. To solve this problem, 3-D face recognition systems that make use of multiple views and depth information have been suggested. However, without an accurate head pose estimation, the performance improvement of 3-D face recognition systems under pose variations remains limited. Previous research on 3-D head pose estimation has been conducted in 3-D space, where the estimation complexity is high. Also it is difficult to incorporate those salient 2-D face features for effective estimation. We propose a novel iterative 3-D head pose estimation method incorporating both 2-D and 3-D face information. To verify the effectiveness, we apply the proposed method to 3-D face modeling and recognition systems with adaptation to various 3-D face data acquisition devices. Our experimental results show that the proposed method can be very effective in terms of modeling and recognition applications, particularly on combining different kinds of acquisition devices, which use different coordinates of origin and scale.

Original languageEnglish
Article number037204
JournalOptical Engineering
Volume48
Issue number3
DOIs
Publication statusPublished - 2009 Dec 1

Fingerprint

Face recognition
data acquisition
Data acquisition
acquisition

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

@article{37db3391ee0047e8adece31b05fde87b,
title = "Iterative three-dimensional head pose estimation using a face normal vector",
abstract = "The performance of face recognition systems has much been burdened by head pose variation. To solve this problem, 3-D face recognition systems that make use of multiple views and depth information have been suggested. However, without an accurate head pose estimation, the performance improvement of 3-D face recognition systems under pose variations remains limited. Previous research on 3-D head pose estimation has been conducted in 3-D space, where the estimation complexity is high. Also it is difficult to incorporate those salient 2-D face features for effective estimation. We propose a novel iterative 3-D head pose estimation method incorporating both 2-D and 3-D face information. To verify the effectiveness, we apply the proposed method to 3-D face modeling and recognition systems with adaptation to various 3-D face data acquisition devices. Our experimental results show that the proposed method can be very effective in terms of modeling and recognition applications, particularly on combining different kinds of acquisition devices, which use different coordinates of origin and scale.",
author = "Sunjin Yu and Joongrock Kim and Lee, {Sang Youn}",
year = "2009",
month = "12",
day = "1",
doi = "10.1117/1.3102989",
language = "English",
volume = "48",
journal = "Optical Engineering",
issn = "0091-3286",
publisher = "SPIE",
number = "3",

}

Iterative three-dimensional head pose estimation using a face normal vector. / Yu, Sunjin; Kim, Joongrock; Lee, Sang Youn.

In: Optical Engineering, Vol. 48, No. 3, 037204, 01.12.2009.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Iterative three-dimensional head pose estimation using a face normal vector

AU - Yu, Sunjin

AU - Kim, Joongrock

AU - Lee, Sang Youn

PY - 2009/12/1

Y1 - 2009/12/1

N2 - The performance of face recognition systems has much been burdened by head pose variation. To solve this problem, 3-D face recognition systems that make use of multiple views and depth information have been suggested. However, without an accurate head pose estimation, the performance improvement of 3-D face recognition systems under pose variations remains limited. Previous research on 3-D head pose estimation has been conducted in 3-D space, where the estimation complexity is high. Also it is difficult to incorporate those salient 2-D face features for effective estimation. We propose a novel iterative 3-D head pose estimation method incorporating both 2-D and 3-D face information. To verify the effectiveness, we apply the proposed method to 3-D face modeling and recognition systems with adaptation to various 3-D face data acquisition devices. Our experimental results show that the proposed method can be very effective in terms of modeling and recognition applications, particularly on combining different kinds of acquisition devices, which use different coordinates of origin and scale.

AB - The performance of face recognition systems has much been burdened by head pose variation. To solve this problem, 3-D face recognition systems that make use of multiple views and depth information have been suggested. However, without an accurate head pose estimation, the performance improvement of 3-D face recognition systems under pose variations remains limited. Previous research on 3-D head pose estimation has been conducted in 3-D space, where the estimation complexity is high. Also it is difficult to incorporate those salient 2-D face features for effective estimation. We propose a novel iterative 3-D head pose estimation method incorporating both 2-D and 3-D face information. To verify the effectiveness, we apply the proposed method to 3-D face modeling and recognition systems with adaptation to various 3-D face data acquisition devices. Our experimental results show that the proposed method can be very effective in terms of modeling and recognition applications, particularly on combining different kinds of acquisition devices, which use different coordinates of origin and scale.

UR - http://www.scopus.com/inward/record.url?scp=81055133075&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=81055133075&partnerID=8YFLogxK

U2 - 10.1117/1.3102989

DO - 10.1117/1.3102989

M3 - Article

AN - SCOPUS:81055133075

VL - 48

JO - Optical Engineering

JF - Optical Engineering

SN - 0091-3286

IS - 3

M1 - 037204

ER -