Dear Colleague,
Welcome to the second edition of Embedded Vision Insights, the newsletter of the Embedded Vision Alliance.
The Embedded Vision Alliance achieved a key milestone on September 20 with its successful premier Alliance Summit meeting, hosted by Alliance member Xilinx at its San Jose, CA facilities. The daylong series of briefings, planning sessions and relationship-building opportunities were judged highly rewarding by all in attendance, and set in place a solid foundation for 2012-and-beyond activities. Please see here for a detailed report on the day's events and outcomes.
The next quarterly Alliance Summit is scheduled for Tuesday, December 6 in Dallas, TX, hosted by Alliance member Texas Instruments. It immediately precedes Alliance member IMS Research's Touch-Gesture-Motion Conference in nearby Austin. If you're already a member of the Embedded Vision Alliance, mark that date in your calendar and plan to attend. If your company is interested in joining the Alliance, contact Jeremy Giddings at 510-451-1800 or [email protected] for membership information. And please also continue to send us your feedback about this newsletter and how we can improve it. I look forward to hearing from you.
Brian Dipert
Editor-In-Chief, Embedded Vision Alliance
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FEATURED VIDEOS |
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Using FPGAs to Interface to and Process Data from Image Sensors
José Alvarez, Video Technology Engineering Director at Xilinx Corporation, discusses the benefits of using FPGAs to interconnect with diverse-interface image sensors, and to process the data coming from those sensors.
A Conversation with Michael Tusch
Jeff Bier, Founder of the Embedded Vision Alliance, interviews Michael Tusch, Apical Limited Founder and CEO. Bier and Tusch discuss image enhancement techniques that can improve the accuracy and effectiveness of embedded vision algorithms, along with other topics.
A Conversation with Gershom Kutliroff
Jeff Bier, Founder of the Embedded Vision Alliance, interviews Gershom Kutliroff, Omek Interactive Founder and Chief Technical Officer. Kutliroff explains the theory and implementation of gesture recognition and full body tracking technologies, including enhancements delived by a '3-D' camera versus a conventional camera setup.
More Videos
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FEATURED ARTICLES |
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Implementing Vision Capabilities in Embedded Systems
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 Microsoft’s Kinect game controller and Mobileye’s driver assistance systems are raising awareness of the incredible potential of embedded vision technology. As a result, many embedded system designers are beginning to think about implementing embedded vision capabilities. This paper from Jeff Bier, Founder of the Embedded Vision Alliance, explores the potential of embedded vision and introduces some of the key ingredients for implementing it. After examining some example applications, it introduces processors, algorithms, tools, and techniques for implementing embedded vision. More
OpenCV on TI’s DSP+ARM® Platforms: Mitigating the Challenges of Porting OpenCV to Embedded Platforms
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. The complexities of these systems can create bottlenecks for developers in the form of longer development times, more complicated development environments and issues with application stability and quality. Developers can address these problems using sophisticated software packages such as OpenCV, but migrating this software to embedded platforms poses its own set of challenges. This paper from Texas Instruments' Joseph Coombs and Rahul Prabhu discusses how to mitigate some of these issues, including C++ implementation, memory constraints, floating-point support and opportunities to maximize performance using vendor-optimized libraries and integrated accelerators or co-processors. More
Introduction To Computer Vision Using OpenCV
This article from Eric Gregori, Senior Software Engineer and Embedded Vision Specialist at BDTI, covers some of the foundation algorithms available in OpenCV. It is a companion piece to Gregori's video tutorial. Also available for download on the Embedded Vision Alliance website are a series of pre-built examples (ZIP), which run on various Windows operating systems and require no prior programming knowledge. For advanced users, source code is additionally provided. More
More Articles
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FEATURED FORUM DISCUSSIONS |
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NVIDIA Takes a Deep Dive into Computer Vision.
Examples of Computer Vision being Used in Products Shipping Today.
High(er) Speed Imagers
What Vision/Image Processing Libraries are Folks Using on TI DSPs?
Interference Between Two Kinect Units?
More Forum Discussions
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FEATURED NEWS |
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Gesture-Based Interfaces: Industry Commitments and Investments.
SimpleCV: Is an "OpenCV For The Masses" Necessary?
Microsoft Robotics Studio 4: A Beta that Moves Kinect-Based Embedded Vision Forward.
Citizen Surveillance: A Topic Fraught with Contentiousness.
Embedded Vision: Primed to Take a Bite Out of Crime.
More News
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