Computer Vision Grows Up
Long regarded as an obscure academic subject, Computer Vision is quickly becoming a differentiator in consumer electronics. Recent successes in gesture-based games, smart security cameras and automotive safety systems are early indicators of an era in which visual intelligence will be embedded, everywhere, and ever-ready.
While these advances are happening at a remarkable pace, the field of Computer Vision needs to mature algorithmically, get standardized and get hardware-accelerated before it can become mainstream.
This talk will describe the challenges engineers face in deploying Computer Vision on embedded platforms, and how every Computer Vision solution seems to require its own computationally demanding algorithm. It will also explore the opportunities ahead as low-cost embedded devices such as wearables promise a world full of vision-enabled devices.
About the speaker, Goksel Dedeoglu
Goksel Dedeoglu is a seasoned researcher and optimization expert in Computer Vision, with seven years in the doctoral program at the Carnegie Mellon Robotics Institute and another seven years at Texas Instruments’ R&D labs. As Lab Director at Dallas, TX-based PercepTonic, LLC, he formulates embedded vision solutions for clients needing custom algorithms to build next-gen products.
Goksel’s product experience and patents include automotive safety, video security, face analysis and gesture recognition. He is a long-time IEEE member, and is organizing the 2015 IEEE Embedded Vision Workshop in Boston. Goksel’s personal website includes demo videos, tutorials and publications that he has created over the years.
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