Automatic hair detection in the wild

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

Standard

Automatic hair detection in the wild. / Julian, Pauline; Dehais, Christophe; Lauze, Francois Bernard; Charvillat, Vincent; Bartoli, Adrien; Choukroun, Ariel.

2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. p. 4617-4620.

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

Harvard

Julian, P, Dehais, C, Lauze, FB, Charvillat, V, Bartoli, A & Choukroun, A 2010, Automatic hair detection in the wild. in 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, pp. 4617-4620, 20th International Conference on Pattern Recognition, Istanbul, Turkey, 23/08/2010. https://doi.org/10.1109/ICPR.2010.1134

APA

Julian, P., Dehais, C., Lauze, F. B., Charvillat, V., Bartoli, A., & Choukroun, A. (2010). Automatic hair detection in the wild. In 2010 20th International Conference on Pattern Recognition (ICPR) (pp. 4617-4620). IEEE. https://doi.org/10.1109/ICPR.2010.1134

Vancouver

Julian P, Dehais C, Lauze FB, Charvillat V, Bartoli A, Choukroun A. Automatic hair detection in the wild. In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE. 2010. p. 4617-4620 https://doi.org/10.1109/ICPR.2010.1134

Author

Julian, Pauline ; Dehais, Christophe ; Lauze, Francois Bernard ; Charvillat, Vincent ; Bartoli, Adrien ; Choukroun, Ariel. / Automatic hair detection in the wild. 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. pp. 4617-4620

Bibtex

@inproceedings{7db621f05c0e11df928f000ea68e967b,
title = "Automatic hair detection in the wild",
abstract = "This paper presents an algorithm for segmenting the hair region in uncontrolled, real life conditions images. Our method is based on a simple statistical hair shape model representing the upper hair part. We detect this region by minimizing an energy which uses active shape and active contour. The upper hair region then allows us to learn the hair appearance parameters (color and texture) for the image considered. Finally, those parameters drive a pixel-wise segmentation technique that yields the desired (complete) hair region. We demonstrate the applicability of our method on several real images.",
author = "Pauline Julian and Christophe Dehais and Lauze, {Francois Bernard} and Vincent Charvillat and Adrien Bartoli and Ariel Choukroun",
year = "2010",
doi = "10.1109/ICPR.2010.1134",
language = "English",
isbn = "978-1-4244-7542-1",
pages = "4617--4620",
booktitle = "2010 20th International Conference on Pattern Recognition (ICPR)",
publisher = "IEEE",
note = "null ; Conference date: 23-08-2010 Through 26-08-2010",

}

RIS

TY - GEN

T1 - Automatic hair detection in the wild

AU - Julian, Pauline

AU - Dehais, Christophe

AU - Lauze, Francois Bernard

AU - Charvillat, Vincent

AU - Bartoli, Adrien

AU - Choukroun, Ariel

PY - 2010

Y1 - 2010

N2 - This paper presents an algorithm for segmenting the hair region in uncontrolled, real life conditions images. Our method is based on a simple statistical hair shape model representing the upper hair part. We detect this region by minimizing an energy which uses active shape and active contour. The upper hair region then allows us to learn the hair appearance parameters (color and texture) for the image considered. Finally, those parameters drive a pixel-wise segmentation technique that yields the desired (complete) hair region. We demonstrate the applicability of our method on several real images.

AB - This paper presents an algorithm for segmenting the hair region in uncontrolled, real life conditions images. Our method is based on a simple statistical hair shape model representing the upper hair part. We detect this region by minimizing an energy which uses active shape and active contour. The upper hair region then allows us to learn the hair appearance parameters (color and texture) for the image considered. Finally, those parameters drive a pixel-wise segmentation technique that yields the desired (complete) hair region. We demonstrate the applicability of our method on several real images.

U2 - 10.1109/ICPR.2010.1134

DO - 10.1109/ICPR.2010.1134

M3 - Article in proceedings

SN - 978-1-4244-7542-1

SP - 4617

EP - 4620

BT - 2010 20th International Conference on Pattern Recognition (ICPR)

PB - IEEE

Y2 - 23 August 2010 through 26 August 2010

ER -

ID: 19662856