Stereo facial image clustering using double spectral analysis

Georgios Orfanidis; Nikos Nikolaidis; Anastasios Tefas; Ioannis Pitas

doi:10.1109/ICECE.2014.7026846

Stereo facial image clustering using double spectral analysis

Georgios Orfanidis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas

Department of Electrical & Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

In this work we proposed a new variant of spectral clustering using double spectral analysis which proved to be able to achieve better clustering results. The present work focuses on the special case of 3D videos and the implication of their use. Extended experiments have been conducted in three 3D full feature commercial films which revealed the power of stereo face clustering in comparison with single channel face clustering.

Original language	English
Title of host publication	2014 International Conference on Electrical and Computer Engineering (ICECE 2014)
Subtitle of host publication	Proceedings of a meeting held 20-22 December 2014, Dhaka, Bangladesh
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	262-265
Number of pages	4
ISBN (Electronic)	9781479941674
ISBN (Print)	9781479941650
DOIs	https://doi.org/10.1109/ICECE.2014.7026846
Publication status	Published - Mar 2015
Event	International Conference on Electrical and Computer Engineering (ICECE) - Dhaka, Bangladesh Duration: 20 Dec 2014 → 22 Dec 2014

Conference

Conference	International Conference on Electrical and Computer Engineering (ICECE)
Country/Territory	Bangladesh
City	Dhaka
Period	20/12/14 → 22/12/14

Keywords

stereo facial image clustering
Spectral clustering
Ncut
HSV color space
facial image clustering

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10.1109/ICECE.2014.7026846

Ioannis Pitas - Stereo facial image clustering usuing double spectral analysis - 2014
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7026846. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 156 KB

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Orfanidis, G., Nikolaidis, N., Tefas, A., & Pitas, I. (2015). Stereo facial image clustering using double spectral analysis. In 2014 International Conference on Electrical and Computer Engineering (ICECE 2014): Proceedings of a meeting held 20-22 December 2014, Dhaka, Bangladesh (pp. 262-265). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICECE.2014.7026846

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title = "Stereo facial image clustering using double spectral analysis",

abstract = "In this work we proposed a new variant of spectral clustering using double spectral analysis which proved to be able to achieve better clustering results. The present work focuses on the special case of 3D videos and the implication of their use. Extended experiments have been conducted in three 3D full feature commercial films which revealed the power of stereo face clustering in comparison with single channel face clustering.",

keywords = "stereo facial image clustering, Spectral clustering, Ncut, HSV color space, facial image clustering",

author = "Georgios Orfanidis and Nikos Nikolaidis and Anastasios Tefas and Ioannis Pitas",

year = "2015",

month = mar,

doi = "10.1109/ICECE.2014.7026846",

language = "English",

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pages = "262--265",

booktitle = "2014 International Conference on Electrical and Computer Engineering (ICECE 2014)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "International Conference on Electrical and Computer Engineering (ICECE) ; Conference date: 20-12-2014 Through 22-12-2014",

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Orfanidis, G, Nikolaidis, N, Tefas, A & Pitas, I 2015, Stereo facial image clustering using double spectral analysis. in 2014 International Conference on Electrical and Computer Engineering (ICECE 2014): Proceedings of a meeting held 20-22 December 2014, Dhaka, Bangladesh. Institute of Electrical and Electronics Engineers (IEEE), pp. 262-265, International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 20/12/14. https://doi.org/10.1109/ICECE.2014.7026846

Stereo facial image clustering using double spectral analysis. / Orfanidis, Georgios; Nikolaidis, Nikos; Tefas, Anastasios et al.
2014 International Conference on Electrical and Computer Engineering (ICECE 2014): Proceedings of a meeting held 20-22 December 2014, Dhaka, Bangladesh. Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 262-265.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Nikolaidis, Nikos

AU - Tefas, Anastasios

AU - Pitas, Ioannis

PY - 2015/3

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N2 - In this work we proposed a new variant of spectral clustering using double spectral analysis which proved to be able to achieve better clustering results. The present work focuses on the special case of 3D videos and the implication of their use. Extended experiments have been conducted in three 3D full feature commercial films which revealed the power of stereo face clustering in comparison with single channel face clustering.

AB - In this work we proposed a new variant of spectral clustering using double spectral analysis which proved to be able to achieve better clustering results. The present work focuses on the special case of 3D videos and the implication of their use. Extended experiments have been conducted in three 3D full feature commercial films which revealed the power of stereo face clustering in comparison with single channel face clustering.

KW - stereo facial image clustering

KW - Spectral clustering

KW - Ncut

KW - HSV color space

KW - facial image clustering

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DO - 10.1109/ICECE.2014.7026846

M3 - Conference Contribution (Conference Proceeding)

SN - 9781479941650

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BT - 2014 International Conference on Electrical and Computer Engineering (ICECE 2014)

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Orfanidis G, Nikolaidis N, Tefas A, Pitas I. Stereo facial image clustering using double spectral analysis. In 2014 International Conference on Electrical and Computer Engineering (ICECE 2014): Proceedings of a meeting held 20-22 December 2014, Dhaka, Bangladesh. Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 262-265 Epub 2015 Jan 29. doi: 10.1109/ICECE.2014.7026846

Stereo facial image clustering using double spectral analysis

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