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Now available—the Embedded Vision Summit On-Demand Edition! Gain valuable computer vision and edge AI insights and know-how from the experts at the 2021 Summit.

Implementing an Image Signal Processing Pipeline using FPGAs

By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, follows up his premier video in this tutorial series with the discussion of a flexible ISP (image signal processing) implementation using readily available dynamic processing blocks in an FPGA.

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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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Automotive Driver Assistance Systems: Using the Processing Power of FPGAs

By Paul Zoratti Driver Assistance Senior System Architect Automotive Division Xilinx Corporation This is a reprint of a Xilinx-published white paper which is also available here (344 KB PDF). In the last five years, the automotive industry has made remarkable advances in driver assistance (DA) systems that truly enrich the driving experience and provide drivers …

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Interview With Professor Jitendra Malik, UC Berkeley, Part One (August 17, 2011)

Jeff Bier, Founder of the Embedded Vision Alliance, interviews Jitendra Malik, Arthur J. Chick Professor of EECS at the University of California at Berkeley, on August 17, 2011. Bier and Malik discuss computer vision's history, current status, and future trends. This is part one of a three-part video series. Please click here for part two.

Interview With Professor Jitendra Malik, UC Berkeley, Part Two (August 17, 2011)

Jeff Bier, Founder of the Embedded Vision Alliance, interviews Jitendra Malik, Arthur J. Chick Professor of EECS at the University of California at Berkeley, on August 17, 2011. Bier and Malik discuss computer vision's history, current status, and future trends. This is part two of a three-part video series. Please click here for part three.

Interview With Professor Jitendra Malik, UC Berkeley, Part Three (August 17, 2011)

Jeff Bier, Founder of the Embedded Vision Alliance, interviews Jitendra Malik, Arthur J. Chick Professor of EECS at the University of California at Berkeley, on August 17, 2011. Bier and Malik discuss computer vision's history, current status, and future trends. This is the final part three of a three-part video series.

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How Does Camera Performance Affect Analytics?

By Michael Tusch Founder and CEO Apical Limited Camera designers have decades of experience in creating image processing pipelines which produce attractive and/or visually accurate images, but what kind of image processing produces video which is well-purposed for subsequent analytics? It seems reasonable to begin by considering a conventional ISP (image signal processor). After all, …

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