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SkillsCast

London Java Community

17th October 2016 in London at CodeNode

This SkillsCast was filmed at Information from pixels

This session was not filmed.

With cheap cameras becoming ubiquitous the camera has become probably the most important sensor for many applications. However extracting usable information from the images produced by cameras is non-trivial. There have been many published successes in recent years using deep learning (multi-layered convolutional neural networks) but it’s not always necessary to apply such techniques to get useful results for many applications. This talk will focus on “classical” machine vision using java and the OpenCV library. We’ll start with a quick refresher on how image data is represented and then cover topics such as determining if an image is blurred (and therefore unusable) and then explore a number of techniques such as shape and face detection.

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London Java Community

Dave Snowdon

By day, a mild-mannered programmer working on Virtual Desktop Infrastructure at VMware. By night, when not asleep, plans world domination by social emotional robots powered by python and clojure. Before he was virtualised Dave worked for Xerox Research in France and, back in the mists of time, developed one of the first distributed multi-user virtual reality environments as part of his PhD work at Manchester.

SkillsCast

This session was not filmed.

With cheap cameras becoming ubiquitous the camera has become probably the most important sensor for many applications. However extracting usable information from the images produced by cameras is non-trivial. There have been many published successes in recent years using deep learning (multi-layered convolutional neural networks) but it’s not always necessary to apply such techniques to get useful results for many applications. This talk will focus on “classical” machine vision using java and the OpenCV library. We’ll start with a quick refresher on how image data is represented and then cover topics such as determining if an image is blurred (and therefore unusable) and then explore a number of techniques such as shape and face detection.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

London Java Community

Dave Snowdon

By day, a mild-mannered programmer working on Virtual Desktop Infrastructure at VMware. By night, when not asleep, plans world domination by social emotional robots powered by python and clojure. Before he was virtualised Dave worked for Xerox Research in France and, back in the mists of time, developed one of the first distributed multi-user virtual reality environments as part of his PhD work at Manchester.