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.
Interview With Professor Jitendra Malik, UC Berkeley, Part Three (August 17, 2011) Read More +
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,
How Does Camera Performance Affect Analytics? Read More +
By Eldad Melamed Project Manager, Video Algorithms CEVA To read this article as a pdf file, click here. Much like the human visual system, embedded computer vision systems perform the same visual functions of analyzing and extracting information from video in a wide variety of products. In embedded portable devices such as Smartphones, digital cameras, and
Design Guidelines for Embedded Real-Time Face Detection Applications Read More +
by Shehrzad Qureshi Senior Engineer, BDTI May 14, 2011 A typical processing pipeline for computer vision is given in Figure 1 below: The focus of this article is on the lens correction block. In less than ideal optical systems, like those which will be found in cheaper smartphones and tablets, incoming frames will tend to
Lens Distortion Correction Read More +
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