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Tessera FotoNation technology recognizes human faces

Tessera announces its FotoNation FaceRecognition technology, which performs identification of human faces in camera equipped mobile devices, such as cell phones, digital still cameras etc. This new technology, when used with face tracking technology, enables a wide range of applications including meta-tagging for easier image management, sharing and retrieval. Furthermore, focus, exposure and image processing associated with an identified subject's face is automatically optimized during image capture and processing...

PRESS SUMMARY

Check-out other embedded Image Enhancement technologies at TessaraNew Tessera FotoNation Technology Enables Reliable, Robust Face Recognition for Mobile Devices

Tessera Technologies, Inc. (Nasdaq:TSRA) today announced its FotoNation(R) FaceRecognition technology, which performs automatic identification of specific human faces in camera equipped mobile devices. This innovative new embedded imaging solution will enable manufacturers to quickly and cost-effectively integrate face recognition capabilities directly into devices such as cell phones, digital still cameras and other consumer electronic products.

This new technology, when used with the FotoNation FaceTracker solution, or other face tracking technology, enables a wide range of applications including meta-tagging for easier image management, sharing and retrieval; person-based image optimization, where the focus, exposure and image processing associated with an identified subject's face is automatically optimized during image capture and processing; and automatic image uploading.

"We are seeing increased interest in facial recognition for consumer devices because of the ubiquity of cameras and the variety of benefits that come with knowledge of the identity of the person being captured by the camera," said Michael Bereziuk, executive vice president, Imaging & Optics, Tessera. "With the FotoNation FaceRecognition solution, a cell phone camera can automatically tag a photograph containing a specific person's face and email the image directly to a friend or upload it to a social networking site."

The FotoNation FaceRecognition technology is available for a number of platforms, including COACH and ARM, and requires only moderate computational and memory resources. The performance is robust in the presence of various factors that make face recognition difficult such as changes in lighting conditions, facial expression and viewing angle/distance.

Additional information: Check-out other embedded Image Enhancement technologies at Tessara
October 6, 2009
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