Introducing the FireCracker!
Based on Analog Devices popular Blackfin embedded processor, Silica has developed the FireCracker Development and Reference Design Platform for audio and video applications. FireCracker is a unique concept of a hybrid between a development board and a reference design that enables design engineers to bring embedded computing solutions from concept to production in record time.

Telelogic Modeling Community: Whitepapers - UML, C/C++, OO Programming

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FPGAs increase machine vision systems' performance
Higher-resolution cameras and faster frame rates are pushing data rates beyond many host PCs' processing capabilities. Kumara describes how acceleration hardware at the right place in the system can make up the shortfall and explains why using FPGAs is the most cost-effective approach to attain the needed performance.
preview: http://www.industrial-embedded.com   date: 5/31/2008

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Tech talk: smart cameras; Q & A with Michael Engel, Vision Components GmbH
Industrial processes don’t always have a traditional computer watching them. In many cases, a smart camera monitors a process and takes action to keep it under control. These smart cameras provide good examples of embedded small form factor systems, with vision, DSP, control, and networking functions built in.
preview: http://www.pc104online.com   date: 4/1/2007

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How to select the right frame grabber
In this article, Chris Brais, Applications Manager at Coreco Imaging summarizes the features that are essential to consider when selecting the right machine vision frame grabber.
preview: http://www.imaging.com  

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Seeing is Believing: Computer Vision and Artificial Intelligence
One of the monolithic goals of computer vision is to automatically interpret general digital images of arbitrary scenes. This goal has produced a vast array of research over the last 35 years, yet a solution to this general problem still remains out of reach. A reason for this is that the problem of visual perception is typically under-constrained. Information like absolute scale and depth is lost when the scene is projected onto an image plane.
preview: http://www.acm.org  

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Synthetic Vision systems -- from sandbox to reality
Certification of Synthetic Vision (SV) systems must take into account the complexities of the underlying software used to create them, particularly 3D graphics software tools and libraries. Common software techniques used to prototype these systems on desktop computers are often fraught with certification risk, which can result in significant rework activities for the embedded, certifiable software. There are methods by which synthetic visions...
preview: http://www.mil-embedded.com   date: 9/18/2007