Minimum variance method to obtain the best shot in video for face recognition

Kazuo Ohzeki, Ryota Aoyama, Yutaka Hirakawa

研究成果: Conference contribution

抄録

This paper describes a face recognition algorithm using feature points of face parts, which is classified as a feature-based method. As recognition performance depends on the combination of adopted feature points, we utilize all reliable feature points effectively. From moving video input, well-conditioned face images with a frontal direction and without facial expression are extracted. To select such well-conditioned images, an iteratively minimizing variance method is used with variable input face images. This iteration drastically brings convergence to the minimum variance of 1 for a quarter to an eighth of all data, which means 3.75-7.5 Hz by frequency on average. Also, the maximum interval, which is the worst case, between the two values with minimum deviation is about 0.8 seconds for the tested feature point sample.

元の言語English
ホスト出版物のタイトルProceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015
出版者Institute of Electrical and Electronics Engineers Inc.
ページ869-874
ページ数6
ISBN(印刷物)9788360810651
DOI
出版物ステータスPublished - 2015
イベントFederated Conference on Computer Science and Information Systems, FedCSIS 2015 - Lodz, Poland
継続期間: 2015 9 132015 9 16

Other

OtherFederated Conference on Computer Science and Information Systems, FedCSIS 2015
Poland
Lodz
期間15/9/1315/9/16

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Face recognition

ASJC Scopus subject areas

  • Computer Science(all)

これを引用

Ohzeki, K., Aoyama, R., & Hirakawa, Y. (2015). Minimum variance method to obtain the best shot in video for face recognition. : Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015 (pp. 869-874). [2015F398] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.15439/2015F398

Minimum variance method to obtain the best shot in video for face recognition. / Ohzeki, Kazuo; Aoyama, Ryota; Hirakawa, Yutaka.

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 869-874 2015F398.

研究成果: Conference contribution

Ohzeki, K, Aoyama, R & Hirakawa, Y 2015, Minimum variance method to obtain the best shot in video for face recognition. : Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015., 2015F398, Institute of Electrical and Electronics Engineers Inc., pp. 869-874, Federated Conference on Computer Science and Information Systems, FedCSIS 2015, Lodz, Poland, 15/9/13. https://doi.org/10.15439/2015F398
Ohzeki K, Aoyama R, Hirakawa Y. Minimum variance method to obtain the best shot in video for face recognition. : Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 869-874. 2015F398 https://doi.org/10.15439/2015F398
Ohzeki, Kazuo ; Aoyama, Ryota ; Hirakawa, Yutaka. / Minimum variance method to obtain the best shot in video for face recognition. Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 869-874
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