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May 18, 2013 Mark Kulaczewski, VP of System Integration and Co-Founder at videantis, presents the "Software Approach for Easing Embedded Acceleration of OpenCV Applications" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. |
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May 17, 2013 José Alvarez, Engineering Director for Video Technology at Xilinx, presents the "Challenges and Opportunities in Accelerating OpenCV" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. Computer vision continues to see increased adoption across a wide variety of applications. The industry's trend towards the incorporation of Smarter Vision capabilities is driving the need for ever more intelligent algorithms that are capable of image understanding. |
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May 17, 2013 Jeff Bier, Founder of the Embedded Vision Alliance, presents the "What Can You Do With Embedded Vision?" overview presentation at the April 2013 Embedded Vision Summit. This presentation is intended for those new to embedded vision, and those seeking ideas for new embedded vision applications and technologies. Jeff Bier presents some of the most imaginative and compelling new products incorporating embedded vision, and highlights how advances in enabling technologies, such as processors and sensors, are fueling accelerated innovation in embedded vision products. |
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May 15, 2013 Gary Bradski, President and CEO of the OpenCV Foundation, presents the "OpenCV Open-Source Computer Vision Library: Present and Future" overview presentation at the April 2013 Embedded Vision Summit. OpenCV is an open source computer vision software component library that has gained widespread use in research and industry -- including, increasingly, in mobile devices, embedded systems, and cloud-based applications. |
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May 15, 2013 Adar Paz, Imaging and Computer Vision Team Leader at CEVA, presents the "Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit. |
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May 14, 2013 Markus Wloka, R&D Director for System-Level Solutions at Synopsys, presents the "Lessons Learned: FPGA Prototyping of a Processor-Based Embedded Vision Application" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. |
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May 13, 2013 Mario Bergeron, Technical Marketing Engineer at Avnet Electronics, presents the "Targeting Computer Vision Algorithms to Embedded Hardware" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. This presentation explores how computer vision algorithms can be targeted to embedded hardware, including FPGAs. |
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May 13, 2013 Chris Rowan, Chief Technology Officer at Tensilica, presents the "Porting Applications to High-Performance Imaging DSPs" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. |
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May 13, 2013 Eric Gregori, senior software engineer and embedded vision specialist at BDTI, presents the "Finding Objects Using Canny Edge Detection" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit. This presentation dives into the Canny edge detection algorithm; how it works and how to use it. Topics include a Canny algorithm walk through, connecting edges with contours, and classifying contours with mathematical models. Finally, the topics learned are applied to describe a system for counting dots on dice. |
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May 02, 2013 by Shalini Gupta
NVIDIA |
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