Robust head pose estimation using locality-constrained sparse coding

Hyunduk Kim; Sang Heon Lee; Myoung Kyu Sohn

doi:10.1117/12.2228507

Robust head pose estimation using locality-constrained sparse coding

Hyunduk Kim, Sang Heon Lee, Myoung Kyu Sohn

Division of Automotive Technology

Daegu Gyeongbuk Institute of Science and Technology

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

1 Scopus citations

Abstract

Sparse coding (SC) method has been shown to deliver successful result in a variety of computer vision applications. However, it does not consider the underlying structure of the data in the feature space. On the other hand, locality constrained linear coding (LLC) utilizes locality constraint to project each input data into its local-coordinate system. Based on the recent success of LLC, we propose a novel locality-constrained sparse coding (LSC) method to overcome the limitation of the SC. In experiments, the proposed algorithms were applied to head pose estimation applications. Experimental results demonstrated that the LSC method is better than state-of-the-art methods.

Original language	English
Title of host publication	Eighth International Conference on Machine Vision, ICMV 2015
Editors	Antanas Verikas, Petia Radeva, Dmitry Nikolaev
Publisher	SPIE
ISBN (Electronic)	9781510601161
DOIs	https://doi.org/10.1117/12.2228507
State	Published - 2015
Event	8th International Conference on Machine Vision, ICMV 2015 - Barcelona, Spain Duration: 19 Nov 2015 → 21 Nov 2015

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9875
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	8th International Conference on Machine Vision, ICMV 2015
Country/Territory	Spain
City	Barcelona
Period	19/11/15 → 21/11/15

Bibliographical note

Publisher Copyright:
© 2015 SPIE.

Keywords

Feature coding
head pose estimation
image classification
locality-constraint
sparse coding

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10.1117/12.2228507

Cite this

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title = "Robust head pose estimation using locality-constrained sparse coding",

abstract = "Sparse coding (SC) method has been shown to deliver successful result in a variety of computer vision applications. However, it does not consider the underlying structure of the data in the feature space. On the other hand, locality constrained linear coding (LLC) utilizes locality constraint to project each input data into its local-coordinate system. Based on the recent success of LLC, we propose a novel locality-constrained sparse coding (LSC) method to overcome the limitation of the SC. In experiments, the proposed algorithms were applied to head pose estimation applications. Experimental results demonstrated that the LSC method is better than state-of-the-art methods.",

keywords = "Feature coding, head pose estimation, image classification, locality-constraint, sparse coding",

author = "Hyunduk Kim and Lee, {Sang Heon} and Sohn, {Myoung Kyu}",

note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 8th International Conference on Machine Vision, ICMV 2015 ; Conference date: 19-11-2015 Through 21-11-2015",

year = "2015",

doi = "10.1117/12.2228507",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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Kim, H, Lee, SH & Sohn, MK 2015, Robust head pose estimation using locality-constrained sparse coding. in A Verikas, P Radeva & D Nikolaev (eds), Eighth International Conference on Machine Vision, ICMV 2015., 98750G, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9875, SPIE, 8th International Conference on Machine Vision, ICMV 2015, Barcelona, Spain, 19/11/15. https://doi.org/10.1117/12.2228507

Robust head pose estimation using locality-constrained sparse coding. / Kim, Hyunduk; Lee, Sang Heon; Sohn, Myoung Kyu.
Eighth International Conference on Machine Vision, ICMV 2015. ed. / Antanas Verikas; Petia Radeva; Dmitry Nikolaev. SPIE, 2015. 98750G (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9875).

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

TY - GEN

T1 - Robust head pose estimation using locality-constrained sparse coding

AU - Kim, Hyunduk

AU - Lee, Sang Heon

AU - Sohn, Myoung Kyu

PY - 2015

Y1 - 2015

N2 - Sparse coding (SC) method has been shown to deliver successful result in a variety of computer vision applications. However, it does not consider the underlying structure of the data in the feature space. On the other hand, locality constrained linear coding (LLC) utilizes locality constraint to project each input data into its local-coordinate system. Based on the recent success of LLC, we propose a novel locality-constrained sparse coding (LSC) method to overcome the limitation of the SC. In experiments, the proposed algorithms were applied to head pose estimation applications. Experimental results demonstrated that the LSC method is better than state-of-the-art methods.

AB - Sparse coding (SC) method has been shown to deliver successful result in a variety of computer vision applications. However, it does not consider the underlying structure of the data in the feature space. On the other hand, locality constrained linear coding (LLC) utilizes locality constraint to project each input data into its local-coordinate system. Based on the recent success of LLC, we propose a novel locality-constrained sparse coding (LSC) method to overcome the limitation of the SC. In experiments, the proposed algorithms were applied to head pose estimation applications. Experimental results demonstrated that the LSC method is better than state-of-the-art methods.

KW - Feature coding

KW - head pose estimation

KW - image classification

KW - locality-constraint

KW - sparse coding

UR - http://www.scopus.com/inward/record.url?scp=84958191170&partnerID=8YFLogxK

U2 - 10.1117/12.2228507

DO - 10.1117/12.2228507

M3 - Conference contribution

AN - SCOPUS:84958191170

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Eighth International Conference on Machine Vision, ICMV 2015

A2 - Verikas, Antanas

A2 - Radeva, Petia

A2 - Nikolaev, Dmitry

PB - SPIE

T2 - 8th International Conference on Machine Vision, ICMV 2015

Y2 - 19 November 2015 through 21 November 2015

ER -

Robust head pose estimation using locality-constrained sparse coding

Abstract

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Keywords

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