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"Low-power Embedded Vision: A Face Tracker Case Study," a Presentation from Synopsys
The ability to reliably detect and track individual objects or people has numerous applications, for example in the video-surveillance and home entertainment fields. While this has proven to be a challenging problem, recent years have brought higher performance solutions such as the Tracking-Learning-Detection (TLD) algorithm. Pierre Paulin, R&D Director for Embedded Vision at Synopsys, describes a face tracking application inspired by the TLD algorithm mapped onto an embedded vision solution. He explains the main concepts of the tracking algorithm and what was modified from TLD to better exploit the underlying hardware and stay within its memory and computational limits. He also describes the development flow from a functional to an optimized OpenVX capture. By comparing the optimized face tracking application running on the targeted embedded vision platform with a version running on an off-the-shelf 32-bit RISC processor, he demonstrates the power-performance-area gains that can be obtained using a solution tuned for computer vision.
"Rugged Reliable Robotics," a Presentation from Carnegie Robotics
Chris Osterwood, Chief Technology Officer at Carnegie Robotics, provides an overview of his company and its products, as well as the robotics markets it services, in this recent presentation.
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Vision Processing Opportunities in Virtual Reality
VR (virtual reality) systems are beginning to incorporate practical computer vision techniques, dramatically improving the user experience as well as reducing system cost. This article authored by several Embedded Vision Alliance member companies provides an overview of embedded vision opportunities in virtual reality systems, such as environmental mapping, gesture interfaces, and eye tracking, along with implementation details. More
Putting the Reality in Augmented and Virtual Reality
"Based on the pace of investment and acquisitions, and the level of buzz (some would say "hype") surrounding augmented reality and virtual reality ," writes Embedded Vision Alliance founder Jeff Bier in this editorial," it is obvious that these technologies are hot. With good reason, I think. Augmented and virtual reality have long held enormous promise, but the challenge of making them work robustly – along with the cost, size and power consumption of the necessary hardware – have severely limited their use. In the past few years, though, what had been steady advances in the hardware and software essential for AR and VR have accelerated, thanks to companies and investors that have poured billions of dollars into these technologies, convinced that they'll be rewarded with big markets in the not-too-distant future. What will those markets be, exactly?" More
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Image Sensors Americas: October 25-26, 2016, San Francisco, California
Image Sensors Auto US: October 27-28, 2016, San Francisco, California
Xilinx Webinar Series – Vision with Precision: Medical Imaging: November 2, 2016, 10 am PT
CEVA/AdasWorks Webinar – Challenges of Vision Based Autonomous Driving and Facilitation of an Embedded Neural Network Platform: November 16, 2016, 10 am PT
Xilinx Webinar Series – Vision with Precision: Augmented Reality: December 6, 2016, 10 am PT
Embedded Vision Summit: May 1-3, 2017, Santa Clara, California
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