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Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part One

Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow. Gene, who has been with the company for nearly 40 years, did his early work with DSPs in association with the Speak & Spell speech synthesizer. In this two-part series, Gene and Brian discuss the history of the DSP both …

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Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part Two

Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow. Gene, who has been with the company for nearly 40 years, did his early work with DSPs in association with the Speak & Spell speech synthesizer. In this two-part series, Gene and Brian discuss the history of the DSP both …

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OpenCV on TI’s DSP+ARM® Platforms: Mitigating the Challenges of Porting OpenCV to Embedded Platforms

By Joseph Coombs and Rahul Prabhu Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (365 KB PDF). Abstract In today’s advancing market, the growing performance and decreasing price of embedded processors are opening many doors for developers to design highly sophisticated solutions for different end applications. …

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Embedded Vision: FPGAs’ Next Notable Technology Opportunity

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published in the First Quarter 2012 issue (PDF) of the Xilinx Xcell Journal. It is reprinted here with the permission of Xilinx. A jointly developed reference design validates the potential of Xilinx’s Zynq device in a burgeoning application category. By Brian …

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Gesture Recognition–First Step Toward 3D UIs?

by Dong-Ik Ko and Gaurav Agarwal Texas Instruments This article was originally published in the December 2011 issue of Embedded Systems Programming. Gesture recognition is the first step to fully 3D interaction with computing devices. The authors outline the challenges and techniques to overcome them in embedded systems. As touchscreen technologies become more pervasive, users …

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Dynamic Range And Edge Detection: An Example Of Embedded Vision Algorithms’ Dependence On In-Camera Image Processing

By Michael Tusch Founder and CEO Apical Limited This article will expand on the theme initiated in the premier article of this series, that of exploring how the pixel processing performed in cameras can either enhance or hinder the performance of embedded vision algorithms. Achieving natural or otherwise aesthetically pleasing camera images is normally considered …

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Implementing Vision Capabilities in Embedded Systems

by Jeff Bier Founder and President, BDTI September 29, 2011 This paper was originally published at the 2011 Embedded Systems Conference Boston. Abstract—With the emergence of increasingly capable processors, it’s becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling them to analyze their environments via video inputs. Products like …

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Introduction To Computer Vision Using OpenCV (Video)

By Eric Gregori Senior Software Engineer and Embedded Vision Specialist BDTI This video training session covers some of the algorithms available in OpenCV, and is intended for programmers and non-programmers alike. You can download (and install) the BDTI OpenCV Executable Demo Package here and follow along. The examples run on various Windows operating systems and …

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Introduction To Computer Vision Using OpenCV (Software Demo)

The BDTI OpenCV Executable Demo Package is an easy-to-use tool which allows anyone with a Windows computer and a web camera to experiment with some of the algorithms in OpenCV v2.3. After downloading the installer zip file, double-click on the zip file to uncompress its contents, then double-click on the… Introduction To Computer Vision Using …

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