Embedded Vision Insights: September 9, 2014 Edition

Dear Colleague,

I'm pleased to report that the full suite of content from the late May Embedded Vision Summit is now published on the Alliance website. Demonstration videos which have appeared in just the last two weeks include those from:

• CEVA: Various computer vision functions running on the company's MM3101 imaging and vision DSP core
• PercepTonic: One video on smart surveillance systems, the other on Harris corner detection and Lucas-Kanade feature tracking
• Synopsys: A HOG-based pedestrian detection application running on the company's processor cores
• Texas Instruments: One video on an ADAS surround view application, the other showcasing a structured light depth camera setup
• VanGogh Imaging: Object detection and recognition using the company's software, and
• videantis: Pedestrian detection, video encode/decode and feature tracking all running on the company's vision processor core

And don't forget about all the other already published Summit material; 36 videos in all, plus a downloadable proceedings set. You can access it all from one place, the May 2014 Embedded Vision Summit Content page. And one click away from it is the overview page for next year's Embedded Vision Summit, taking place May 12, 2015 (with accompanying partial- and full-day workshops on both the 11th and 13th), once again at the Santa Clara Convention Center. Mark your calendars and plan to attend; additional information, including sponsors, workshops and registration details, is forthcoming.

Speaking of content, last time I mentioned that the Alliance had joined with Apress Media and author Scott Krig to enable free publication of Scott's new book "Computer Vision Metrics: Survey, Taxonomy, and Analysis" on the Alliance website. Currently, four of the book's eight chapters are already published, along with the introduction and bibliography. The remainder of the chapters, plus the four appendices, will follow in the coming weeks. And don't forget; if you're based in the United States and are willing to post a review of the book to the website's discussion forums, we have a limited number of complimentary print copies available as thank-you gifts. Email us with your commitment and contact information, for consideration.

If you're interested in purchasing a print copy of "Computer Vision Metrics", visit Apress's website for more information. And while you're on the Alliance website, make sure you check out all the other great new content published there in recent weeks. Thanks as always for your support of the Embedded Vision Alliance, and for your interest in and contributions to embedded vision technologies, products and applications. As always, I welcome your suggestions on what the Alliance can do to better service your needs.

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance

Embedded Vision Summit Technical Presentation: "Using FPGAs to Accelerate 3D Vision Processing: A System Developer's View," Ken Lee, VanGogh Imaging
JKen Lee, CEO of VanGogh Imaging, presents the "Using FPGAs to Accelerate 3D Vision Processing: A System Developer's View" tutorial within the "Implementing Vision Systems" technical session at the October 2013 Embedded Vision Summit East. Embedded vision system designers must consider many factors in choosing a processor. This is especially true for 3D vision systems, which require complex algorithms, lots of processing power, and large amounts of memory. When VanGogh Imaging started development of its first 3D vision system three years ago for object recognition and measurement, it was based on a PC platform. Over the last two years, VanGogh Imaging has converted its software to run on an ARM-based system running Linux and Android. The conversion to the embedded system reduced cost but at the expense of performance, despite significant effort to reduce algorithmic and data structure complexity. Now, in order to improve performance, the company has implementing the same design on an FPGA-SoC (Zynq from Xilinx). VanGogh Imaging's analysis has indicates that this approach will allow the company to increase performance dramatically with minimal additional cost. Ken Lee presents the new implementation approach and how it yields performance improvements, as well as lessons learned during the PC-to-ARM and ARM-to-SoC conversion process via design examples.

May 2014 Embedded Vision Alliance Member Meeting Presentation: "Augmented Reality: Commercial Use Cases and Technology Challenges," Vitaliy Goncharuk, Augmented Pixels
Vitaliy Goncharuk, Managing Partner at Augmented Pixels, delivers the presentation "Augmented Reality: Commercial Use Cases and Technology Challenges" at the May 2014 Embedded Vision Alliance Member Meeting.

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