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May 2014 Embedded Vision Summit Technical Presentation: “Fast 3D Object Recognition in Real-World Environments,” Ken Lee, VanGogh Imaging

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 […]

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“Self-Driving Cars,” an Embedded Vision Summit Keynote Presentation from Google

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

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May 2014 Embedded Vision Summit Technical Presentation: “Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking,” Chris Rowen, Cadence

Chris Rowen, Fellow at Cadence, presents the "Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking" tutorial at the May 2014 Embedded Vision Summit. This presentation looks at a cross-section of advanced feature detectors, and considers the algorithm, bit precision, arithmetic primitives and implementation optimizations that yield high pixel processing rates,

May 2014 Embedded Vision Summit Technical Presentation: “Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking,” Chris Rowen, Cadence Read More +

May 2014 Embedded Vision Summit Technical Presentation: “How to Create a Great Object Detector,” Avinash Nehemiah, MathWorks

Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Create a Great Object Detector" tutorial at the May 2014 Embedded Vision Summit. Detecting objects of interest in images and video is a key part of practical embedded vision systems. Impressive progress has been made over the past few years by

May 2014 Embedded Vision Summit Technical Presentation: “How to Create a Great Object Detector,” Avinash Nehemiah, MathWorks Read More +

Tegra K1-Powered Project Tango DevKit Opens Door to New Worlds Enabled by Computer Vision

This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Google’s new Project Tango Tablet Developers’ Kit puts powerful new capabilities in the hands of those ready to harness the promise of computer vision. Fast-forwarding Google’s Project Tango from experimental device to developer kit, the tablet incorporates cameras

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Embedded Vision Insights: June 3, 2014 Edition

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

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May 2014 Embedded Vision Summit Proceedings

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

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Embedded Vision Insights: May 15, 2014 Edition

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

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CENTR: An Embedded Vision Case Study Winner

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

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Embedded Vision: Enabling Smarter Mobile Apps and Devices

For decades, computer vision technology was found mainly in university laboratories and a few niche applications. Today, virtually every tablet and smartphone is capable of sophisticated vision functions such as hand gesture recognition, face recognition, gaze tracking, and object recognition. These capabilities are being used to enable new types of applications, user interfaces, and use

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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