Partial Face Detection and Significant Feature Parts on Face

Min Chi Kao, Tzuu-Hseng S. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Face detection is an important technique and has been employed in many applications. Many literatures have been proposed to extract the features of face. However, in many cases, the human face may be obscured by other people or objects which cause the face cannot be detected. This paper focuses on how to do partial face detection and discusses what the significant feature parts on face are. We employed SURF algorithm to compute the reliable feature parts on face so that the partial face can be detected. In order to evaluate the degree of importance for each feature part, this paper introduces CV value to appraise each feature part of face. Finally, the experimental result demonstrates the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationNew Trends on System Sciences and Engineering - Proceedings of ICSSE 2015
PublisherIOS Press
Pages126-136
Number of pages11
Volume276
ISBN (Electronic)9781614995210
DOIs
Publication statusPublished - 2015
EventInternational Conference on System Science and Engineering, ICSSE 2015 - Morioka, Japan
Duration: 2015 Jul 62015 Jul 8

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume276
ISSN (Print)0922-6389

Other

OtherInternational Conference on System Science and Engineering, ICSSE 2015
CountryJapan
CityMorioka
Period15-07-0615-07-08

Fingerprint

Face recognition

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Kao, M. C., & Li, T-H. S. (2015). Partial Face Detection and Significant Feature Parts on Face. In New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015 (Vol. 276, pp. 126-136). (Frontiers in Artificial Intelligence and Applications; Vol. 276). IOS Press. https://doi.org/10.3233/978-1-61499-522-7-126
Kao, Min Chi ; Li, Tzuu-Hseng S. / Partial Face Detection and Significant Feature Parts on Face. New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015. Vol. 276 IOS Press, 2015. pp. 126-136 (Frontiers in Artificial Intelligence and Applications).
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Kao, MC & Li, T-HS 2015, Partial Face Detection and Significant Feature Parts on Face. in New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015. vol. 276, Frontiers in Artificial Intelligence and Applications, vol. 276, IOS Press, pp. 126-136, International Conference on System Science and Engineering, ICSSE 2015, Morioka, Japan, 15-07-06. https://doi.org/10.3233/978-1-61499-522-7-126

Partial Face Detection and Significant Feature Parts on Face. / Kao, Min Chi; Li, Tzuu-Hseng S.

New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015. Vol. 276 IOS Press, 2015. p. 126-136 (Frontiers in Artificial Intelligence and Applications; Vol. 276).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Face detection is an important technique and has been employed in many applications. Many literatures have been proposed to extract the features of face. However, in many cases, the human face may be obscured by other people or objects which cause the face cannot be detected. This paper focuses on how to do partial face detection and discusses what the significant feature parts on face are. We employed SURF algorithm to compute the reliable feature parts on face so that the partial face can be detected. In order to evaluate the degree of importance for each feature part, this paper introduces CV value to appraise each feature part of face. Finally, the experimental result demonstrates the effectiveness of the proposed algorithm.

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Kao MC, Li T-HS. Partial Face Detection and Significant Feature Parts on Face. In New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015. Vol. 276. IOS Press. 2015. p. 126-136. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-522-7-126