Yann LeCun, Director of AI Research at Facebook and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, presents the "Convolutional Networks: Unleashing the Potential of Machine Learning for Robust Perception Systems" keynote at the May 2014 Embedded Vision Summit. Convolutional Networks (ConvNets) have become the dominant method […]
Ken Lee, Founder of VanGogh Imaging, presents the "Fast 3D Object Recognition in Real-World Environments" tutorial at the May 2014 Embedded Vision Summit. Real-time 3D object recognition can be computationally intensive and difficult to implement when there are a lot of other objects (i.e. clutter) around the target. There are several approaches to deal with
Nathaniel Fairfield, Technical Lead at Google, presents the "Self-Driving Cars" keynote at the May 2014 Embedded Vision Summit. Self-driving cars have the potential to transform how we move: they promise to make us safer, give freedom to millions of people who can't drive, and give people back their time. The Google Self-Driving Car project was
“Self-Driving Cars,” an Embedded Vision Summit Keynote Presentation from Google Read More +
In this edition of Embedded Vision Insights: Embedded Vision Summit West Success Integrating Vision and Motion Heterogeneous Processing How-Tos Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Last Thursday's Embedded Vision Summit West was an absolutely amazing day. The keynotes from Yann LeCun of Facebook and Nathaniel Fairfield of Google provided compelling
Embedded Vision Insights: June 3, 2014 Edition Read More +
The Embedded Vision Summit was held on May 29, 2014 in Santa Clara, California, as a technical educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The program for the event included the following presentations, whose PDF-formatted foilsets are available for download as a… May 2014 Embedded Vision Summit
May 2014 Embedded Vision Summit Proceedings Read More +
In this edition of Embedded Vision Insights: In Two Weeks: The Embedded Vision Summit From Planetary Exploration to Consumer Devices 360-Degree Panorama Photography Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Two weeks from today, my colleagues at the Embedded Vision Alliance and I will kick off the next, and biggest and
Embedded Vision Insights: May 15, 2014 Edition Read More +
Computational photography is, as a recently published contributed article points out, one of the most visible current examples of embedded vision processing for the masses. And panorama "stitching", the ability to combine multiple horizontally- and vertically-captured frames into one higher-resolution image, is one of the most common computational photography features. Most of today's panorama stitching
CENTR: An Embedded Vision Case Study Winner Read More +
Larry Matthies, Supervisor of the Computer Vision Group at NASA's Jet Propulsion Laboratory, delivers the technology presentation, "Vision-Based Navigation Applications: From Planetary Exploration to Consumer Devices," at the March 2014 Embedded Vision Alliance Member Meeting. Dr. Matthies is a Senior Research Scientist at JPL and is the Supervisor of the Computer Vision Group in the
In this edition of Embedded Vision Insights: Vision Processing on Mobile Devices Developing Low-Cost, Low-Power, Small Vision Systems Augmented Reality: A Compelling Opportunity Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, There’s been quite a burst of interesting news lately about vision technology being used in mobile devices, a topic which has
Embedded Vision Insights: April 24, 2014 Edition Read More +
This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Although augmented reality was first proposed and crudely demonstrated nearly fifty years ago, its implementation was until recently only possible on bulky and expensive computers. Nowadays, however, the fast, low power and cost-effective processors and high
Augmented Reality: A Compelling Mobile Embedded Vision Opportunity Read More +
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