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Kursk state technical university

Contact information:

Titov Vitaliy S.

Head of chair, D.Sc., professor.

E-mail: titov@vt.kstu.kursk.ru, oldguy7@rambler.ru
Telephone: +7-4712-587105
Fax: +7-4712-587112

Offers of high school on participation in joint researches with the European universities within the limits of thematic priorities of the Seventh frame program of scientifically-technological development of EU

Cooperation / Information And Communication Technologies - ICT / Cognitive Systems, Interaction, Robotics


FP7-ICT-2007-3 ICT-2007.2.2 Area: Human eyes recognition for digital image automatic framing

The brief description of the project: Nowadays digital cameras already are not the luxury that is accessible to a small group of professional photographers. A wide range of inexpensive digital cameras, manufactured by the leading world vendors (Sony, Kodak, Olympus, Nikon, Samsung and etc), is available on the market. Optics quality, CCD matrix resolution and physical dimensions, cost of cameras of different vendors are close, so the choice of a concrete model depends on its functionality that include image processing capabilities. Our goal is to develop a method for automatic portrait digital images framing with human face centering in a frame plane that will be embedded to digital cameras. The following results are obtained: The developed method is: capable to detect human eyes on a digital image with resolution greater then 320x240 pixels independently from a face position in a frame plane (is invariant to a shift and rotation of a face in a frame plane); is invariant to a change of distance between a camera and human and, as a result, to a change of face scale on an image. The method provides a reliable recognition when eyes linear sizes are 40 pixels or greater; is designed for eyes recognition on images with good contrast.

Expected results: The subsequent investigations will be aimed to: Provide eyes recognition of a group of people. Lower the requirements to minimal image sizes and minimal eyes linear sizes. Increase method efficiency on images with bad contrast that are obtained without artificial illumination. Provide animals eyes recognition. The developed eyes recognition method is designed for digital cameras and provides an automatic best frame selection from a sequence based on criterion of opened eyes and automatic portrait images framing. It is applicable in ophthalmology for automatic strabismus diagnostics and in biometric access control systems based on human face or iris pattern recognition.

The countries of partners under the project: Germany, Finland, France

Published works: 

The information on the organization

Kursk state technical university
305040,  RU,  Kursk region,  Kursk
Address: KSTU, 94, ul. 50 let Oktyabrya

Kursk State Technical University, one of the leading institutions of higher education of the Russian Federation, was founded in 1964.The University is proud of a great team of professors and teachers. High-qualified specialists are trained in 65 fields. Scientific activity is widely developed in the following directions: computer technologies, bioengineering, physics, chemistry, economy, jurisprudence, other technical and humanity sciencies.