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Chincotech Announce Attendance at the 2019 IEEE Conference on Automatic Face and Gesture Recognition

The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019) will be held in Lille, France, 14-18 May 2019.

Tokyo, Japan, February 13, 2019 –(PR.com)– Paul Rashford, Chincotech�s Head Software Development Engineer said, “This will be the second time we have attended this event, last year was our first and was a great success. We are really looking forward to meeting up with other industry leaders to share ideas and discuss the latest technologies, last year we made some invaluable connections and are looking forward to more of the same this year.”

The IEEE conference series on Automatic Face and Gesture Recognition is the premier international forum for research in image and video-based face, gesture, and body movement recognition. Its broad scope includes: advances in fundamental computer vision, pattern recognition and computer graphics; machine learning techniques relevant to face, gesture, and body motion; new algorithms and applications. Topics of interest include but are not limited to:

Face recognition & biometrics
Face analysis and synthesis
Body action and activity recognition
Psychological and behavioral analysis
Computer vision and machine learning in affective computing and multi-modal interaction
Gesture recognition, analysis and synthesis
Technologies and applications

About Chincotech
Headquartered in Japan, Chincotech is a privately-owned company that since 2009 has been building an enviable reputation among governments, governmental agencies, security and military worldwide as a company able to develop the most reliable and advanced 2D/3D facial recognition algorithms and software solutions for today’s increasingly demanding environment.

Chincotech surveillance and recognition XFR8 software is being developed via a platform designed to seamlessly connect to any live CCTV network system and servers, offering unrivaled algorithms and secure software in some of the most challenging environments.

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