Face Retrieval in Video Sequences Using a Single Face Sample

Bin Liang, Lihong Zheng, Jiwan Han

Research output: Book chapter/Published conference paperConference paper

Abstract

Automatic face retrieval or verification is a matter to identify whether the target person is the same person, which has been received considerable attention by researchers in computer vision. This paper proposes a method to localize a face from video sequences by considering only one shot. First, Cascade AdaBoost is applied to identify region of a face from the video sequence. The image enhancement step is followed in order to reduce the illumination variation. Image enhancement considers facial region’s local mean and standard deviation. Later Singular Value Decomposition (SVD) is used to generate any number of imitated face images for each face by perturbing its n-ordered images. Consequently, the problem of face retrieval with one sample image becomes a common face retrieval problem. In addition, we use the extended t-SNE (t-Distributed Stochastic Neighbour Embedding) to extract condensed facial features. Correspondingly the computation cost is reduced largely. On the basis of the original one facial sample and extended training samples, our proposed method shows a better performance with comparison to other methods. Therefore, the proposed method is effective and competitive. The proposed method can be easily generalized to other face related tasks, such as attribute recognition, general object detection, and face validation.
Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781538628393
ISBN (Print)9781538628409
DOIs
Publication statusPublished - 21 Dec 2017
Event2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Novotel Sydney Manly Pacific, Sydney, Australia
Duration: 29 Nov 201701 Dec 2017
http://dicta2017.dictaconference.org/index.html (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8226656 (Conference proceedings)

Conference

Conference2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
CountryAustralia
CitySydney
Period29/11/1701/12/17
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).
Internet address

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  • Cite this

    Liang, B., Zheng, L., & Han, J. (2017). Face Retrieval in Video Sequences Using a Single Face Sample. In Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-6). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2017.8227433