Computer Vision for Head Pose Estimation: Review of a Competition

Heikki Huttunen; Ke Chen; Abhishek Thakur; Artus Krohn-Grimberghe; Oguzhan Gencoglu; Xingyang Ni; Mohammed Al-Musawi; Lei Xu; Hendrik Jacob van Veen

doi:10.1007/978-3-319-19665-7_6

Computer Vision for Head Pose Estimation: Review of a Competition

Heikki Huttunen
, Ke Chen
, Abhishek Thakur
, Artus Krohn-Grimberghe
, Oguzhan Gencoglu
, Xingyang Ni
, Mohammed Al-Musawi
, Lei Xu
, Hendrik Jacob van Veen

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

9 Sitaatiot (Scopus)

Abstrakti

This paper studies the prediction of head pose from still images, and summarizes the outcome of a recently organized competition, where the task was to predict the yaw and pitch angles of an image dataset with 2790 samples with known angles. The competition received 292 entries from 52 participants, the best ones clearly exceeding the state-of-the-art accuracy. In this paper, we present the key methodologies behind selected top methods, summarize their prediction accuracy and compare with the current state of the art.

Alkuperäiskieli	Englanti
Otsikko	19th Scandinavian Conference on Image Analysis (SCIA)
Kustantaja	Springer International Publishing
Sivut	65-75
Sivumäärä	10
Vuosikerta	9127
ISBN (elektroninen)	978-3-319-19665-7
ISBN (painettu)	978-3-319-19664-0
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-319-19665-7_6
Tila	Julkaistu - 9 kesäk. 2015
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS - Kesto: 1 tammik. 1900 → …

Conference

Conference	SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS
Ajanjakso	1/01/00 → …

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

10.1007/978-3-319-19665-7_6

Siteeraa tätä

Huttunen, H., Chen, K., Thakur, A., Krohn-Grimberghe, A., Gencoglu, O., Ni, X., Al-Musawi, M., Xu, L., & van Veen, H. J. (2015). Computer Vision for Head Pose Estimation: Review of a Competition. teoksessa 19th Scandinavian Conference on Image Analysis (SCIA) (Vuosikerta 9127, Sivut 65-75). Springer International Publishing. https://doi.org/10.1007/978-3-319-19665-7_6

@inproceedings{403fc72526904d3eb20e45bd0a7edb91,

title = "Computer Vision for Head Pose Estimation: Review of a Competition",

abstract = "This paper studies the prediction of head pose from still images, and summarizes the outcome of a recently organized competition, where the task was to predict the yaw and pitch angles of an image dataset with 2790 samples with known angles. The competition received 292 entries from 52 participants, the best ones clearly exceeding the state-of-the-art accuracy. In this paper, we present the key methodologies behind selected top methods, summarize their prediction accuracy and compare with the current state of the art.",

keywords = "Machine learning",

author = "Heikki Huttunen and Ke Chen and Abhishek Thakur and Artus Krohn-Grimberghe and Oguzhan Gencoglu and Xingyang Ni and Mohammed Al-Musawi and Lei Xu and \{van Veen\}, \{Hendrik Jacob\}",

note = "AUX=sgn,{"}Ni, Xingyang{"} AUX=sgn,{"}Al-Musawi, Mohammed{"} AUX=sgn,{"}Xu, Lei{"}; Scandinavian Conference on Image Analysis ; Conference date: 01-01-1900",

year = "2015",

month = jun,

day = "9",

doi = "10.1007/978-3-319-19665-7\_6",

language = "English",

isbn = "978-3-319-19664-0",

volume = "9127",

pages = "65--75",

booktitle = "19th Scandinavian Conference on Image Analysis (SCIA)",

publisher = "Springer International Publishing",

}

Huttunen, H, Chen, K, Thakur, A, Krohn-Grimberghe, A, Gencoglu, O, Ni, X, Al-Musawi, M, Xu, L & van Veen, HJ 2015, Computer Vision for Head Pose Estimation: Review of a Competition. julkaisussa 19th Scandinavian Conference on Image Analysis (SCIA). Vuosikerta 9127, Springer International Publishing, Sivut 65-75, SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS, 1/01/00. https://doi.org/10.1007/978-3-319-19665-7_6

TY - GEN

T1 - Computer Vision for Head Pose Estimation: Review of a Competition

AU - Huttunen, Heikki

AU - Chen, Ke

AU - Thakur, Abhishek

AU - Krohn-Grimberghe, Artus

AU - Gencoglu, Oguzhan

AU - Ni, Xingyang

AU - Al-Musawi, Mohammed

AU - Xu, Lei

AU - van Veen, Hendrik Jacob

N1 - AUX=sgn,"Ni, Xingyang" AUX=sgn,"Al-Musawi, Mohammed" AUX=sgn,"Xu, Lei"

PY - 2015/6/9

Y1 - 2015/6/9

N2 - This paper studies the prediction of head pose from still images, and summarizes the outcome of a recently organized competition, where the task was to predict the yaw and pitch angles of an image dataset with 2790 samples with known angles. The competition received 292 entries from 52 participants, the best ones clearly exceeding the state-of-the-art accuracy. In this paper, we present the key methodologies behind selected top methods, summarize their prediction accuracy and compare with the current state of the art.

AB - This paper studies the prediction of head pose from still images, and summarizes the outcome of a recently organized competition, where the task was to predict the yaw and pitch angles of an image dataset with 2790 samples with known angles. The competition received 292 entries from 52 participants, the best ones clearly exceeding the state-of-the-art accuracy. In this paper, we present the key methodologies behind selected top methods, summarize their prediction accuracy and compare with the current state of the art.

KW - Machine learning

U2 - 10.1007/978-3-319-19665-7_6

DO - 10.1007/978-3-319-19665-7_6

M3 - Conference contribution

SN - 978-3-319-19664-0

VL - 9127

SP - 65

EP - 75

BT - 19th Scandinavian Conference on Image Analysis (SCIA)

PB - Springer International Publishing

T2 - Scandinavian Conference on Image Analysis

Y2 - 1 January 1900

ER -

Computer Vision for Head Pose Estimation: Review of a Competition

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