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Texas Instruments

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Leveraging Multicore Processors for Machine Vision Applications

By Mukesh Kumar Marketing Director, Multicore Processors Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (500 KB PDF). Introduction Meeting the needs of practically any conceivable type of vision application, TI has a wide selection of processors ranging from microprocessors based on ARM cores, to SoCs […]

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Improve Perceptual Video Quality: Skin-Tone Macroblock Detection

By Paula Carrillo, Akira Osamoto, and Adithya K. Banninthaya Texas Instruments Accurate skin-tone reproduction is important in conventional still and video photography applications, but it's also critical in some embedded vision implementations; for accurate facial detection and recognition, for example. And intermediary lossy compression between the camera and processing circuitry is common in configurations that

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Gesture Recognition: Enabling Natural Interactions With Electronics

By Dong-Ik Ko (Lead Engineer, Gesture Recognition and Depth-Sensing) and Gaurav Agarwal (Manager, Gesture Recognition and Depth-Sensing) Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (2.6 MB PDF). Introduction Over the past few years, gesture recognition has made its debut in entertainment and gaming markets. Now,

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Texas Instruments’ Platinum Portal: Information That You’ll Find Vital

As I first mentioned in an Embedded Vision Insights newsletter edition published shortly after the December 2011 Embedded Vision Alliance Summit, EVA member Texas Instruments (TI) has upgraded its membership to the premier Platinum tier. According to Niels Anderskouv, Vice President of Digital Signal Processing Systems at TI: Embedded vision and vision analytics are becoming

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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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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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Facial Recognition: A Mobile Application Yearning For Stereo Vision?

As I previously mentioned in mid-October, the latest-generation Android 4 "Ice Cream Sandwich" operating system from Google touts (among other things) built-in support for facial recognition as a system unlock option. And as I mentioned a few days later, it…umm…doesn't yet work terribly well. Not only is its operation inherently erratic, especially in low-light settings,

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