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Embedded Vision Insights: June 18, 2015 Edition

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In this edition of Embedded Vision Insights:


Dear Colleague,Embedded Vision Summit

I'm happy to report that the first few presentation videos from the recent Embedded Vision Summit are now published. In the first, Bruno Lavigueur, Synopsys’ Project Leader for Embedded Vision, presents "Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation," which includes a demonstration of a face detection application running on a dedicated multi-core platform optimized for CNN-based applications.

In a separate video, Synopsys' Pierre Paulin, Director of R&D for Embedded Vision, speaks on "Low-power Embedded Vision: A Face Tracker Case Study," highlighting an application inspired by the Tracking-Learning-Detection (TLD) algorithm mapped onto an embedded vision processor. In addition, videantis delivers the presentation "3D from 2D: Theory, Implementation and Applications of Structure from Motion." Vice President of Marketing Marco Jacobs, a regular contributor to the Alliance website, delves into detail on a unique combination of algorithms that extract depth information using a single 2D moving camera.

I'd also like to draw your attention to the...