TECHNOLOGIES

“Machine Learning,” a Presentation from UT Austin

Professor Kristen Grauman of the University of Texas at Austin presents the keynote on machine learning at the December 2012 Embedded Vision Alliance Member Summit. Grauman is a rising star in computer vision research. Among other distinctions, she was recently recognized with a Regents' Outstanding Teaching Award and, along with Devi Parikh, received the prestigious […]

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Embedded Vision Alliance Conversation with Daniel Wilding of National Instruments

Jeff Bier, founder of the Embedded Vision Alliance, interviews Daniel Wilding, National Instruments Digital Hardware Engineer. Jeff and Daniel discuss National Instruments' history, current status and future plans in the embedded vision application space, the applicability and advantages of FPGAs as embedded vision processors, and National Instruments' development tools for simplifying and otherwise optimizing FPGA-based

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December 2012 Embedded Vision Alliance Member Summit Technology Trends Presentation

Embedded Vision Alliance Editor-in-Chief (and BDTI Senior Analyst) Brian Dipert and BDTI Senior Software Engineer Eric Gregori co-deliver an embedded vision application technology trends presentation at the December 2012 Embedded Vision Alliance Member Summit. Brian and Eric discuss embedded vision opportunities in mobile electronics devices. They quantify the market sizes and trends for smartphones and

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Post-Capture Selective Focus: A Video-Capable DSLR Lets You Put The Concept To The Test

Interested in trying out plenoptic light field camera technology, but don't have access to a Lytro camera (or for that matter, a Toshiba sensor prototype)? The Chaos Collective has developed a free online tool that enables you to approximate the approach using a recent-model DSLR that's capable of capturing not only still images but also

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Post-Capture Selective Focus: Toshiba’s Prototype Puts Lytro On Notice

Plenoptic camera technology, most commonly known nowadays by virtue of Lytro's ongoing promotion of the concept (and sales of the first-generation implementation), has received primary mainstream attention to date because the light field-based approach allows for post-capture selective focus on particular depth regions of an image. However, embedded vision advocates likely are alternatively intrigued by

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Lytro: The Plenoptic Camera’s Feature Set Continues To Grow

Lytro's light ray-based plenoptic camera technology, which enables post-capture selective focus on any particular depth region of an image, has received periodic mention on this site. Back in October of last year, for example, I covered the cameras' initial unveiling. And more recently, BDTI engineers Eric Gregori and Shehrzad Qureshi discussed the underlying technology in

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Camera-Based ADAS for Mass Deployments

By Peter Voss and Benno Kusstatscher, Automotive Segment Team Analog Devices This article was originally published by Elektronik Magazine. It is reprinted here with the permission of the original publisher. Abstract Car manufacturers (OEM‘s) and system suppliers (Tier 1s) do agree: Advanced Driver Assistance Systems (ADAS) will see a steep growth in the years to

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Auto-Safety Mandate Brings Video Systems into Full View, Along with Design Challenges

By Don Nesbitt, Marketing Manager in the High Speed Signal Conditioning Group Analog Devices This article was originally published by Hanser Automotive Magazine. It is reprinted here with the permission of the original publisher. The emerging field of video-based automotive safety was in the headlines during December 2011 when the U.S. Department of Transportation proposed

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September 2012 Embedded Vision Summit Presentation: “Image Sensor Options and Trends for Embedded Vision,” Eric Gregori, BDTI

Eric Gregori, senior software engineer and embedded vision specialist at BDTI, presents the "Image Sensor Options and Trends for Embedded Vision" tutorial at the September 2012 Embedded Vision Summit. Topics discussed by Gregori in his presentation include the differences between CCDs and CMOS 2D sensors, the three primary types of 3D sensors (stereo, structured light,

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