Face Recognition Project

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14~18 September, 2007:

We demonstrated our Multi-Target Realtime Face Recognition System in Innovation Expo 2007 at Hong Kong Convention and Exhibition Centre.

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Sponsored by:

Innovation and Technology Commission

Innovation and Technology Fund,
Innovation and Technology Commission,
Hong Kong Special Administrative Region

ATAL Technologies Ltd.

Links:

arrow IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2008 (Jun 24 - 26)
arrow International Conference on Computer Vision 2009 (Sep 27th)
arrow European Conference on Computer Vision 2008 (Oct 12 - 18)

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ill titleWelcome !

This website is served for our Face Recognition Project which is mainly sponsored by Innovation and Technology Fund (IDFace, Ref: ITS/072/03) of Innovation and Technology Commission, Hong Kong. Also, it is a portal of all kinds of biometric recognition technology such as face/body detection, alignment, feature extraction and identity verification/recognition.

ill_1As an emerging technology, automatic face recognition has great potential in a large array of application areas, including banking and security system access authentication, video surveillance, mugshot matching for law enforcement, duplicate ID card identification, face-based video compression for video conferencing, finding long-lost relatives, multimedia information retrieval, and Casino room access control, just to name a few. Given the vast potential for face recognition technology and the only very recent beginning of market acceptance of the technology, we believe it is a great opportunity for Hong Kong to take the lead in this area. In fact, we have already built a technology lead in terms of theoretical algorithm development. Hong Kong IT industry now has a unique opportunity to turn this lead into product lead and market lead.

ill titleWork

In this project, we have been developing a core set of essential tools ill_2for face recognition system development. These include three comprehensive software suites for Photo-based, Video-based, and Sketch-based automatic face recognition systems. In addition, several prototype application systems utilizing the developed software packages were implemented to demonstrate the superiority of the technology. Through education, training, and technology transfer, multiple local IT industry sectors in the area of law enforcement, information security, multimedia processing and content delivery, video surveillance, and video conferencing will be able to enjoy the benefit of this project.