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May 2014 Embedded Vision Summit Proceedings

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The Embedded Vision Summit was held on May 29, 2014 in Santa Clara, California, as a technical educational forum for product creators interested in incorporating visual intelligence into electronic systems and software.

The program for the event included the following presentations, whose PDF-formatted foilsets are available for download as a consolidated ZIP file: (74 Mbytes):

  • Welcome remarks by Jeff Bier, Embedded Vision Alliance
  • Program overview by Goksel Dedeoglu, PercepTonic
  • Keynote presentation: "Convolutional Networks: Unleashing the Potential of Machine Learning for Robust Perception Systems" by Yann LeCun, Facebook and New York University
  • Session 1A presentation: "How to Create a Great Object Detector" by Avinash Nehemiah, MathWorks
  • Session 1A presentation: "Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking" by Chris Rowen, Cadence
  • Session 2A presentation: "Fast 3D Object Recognition in Real-World Environments" by Ken Lee, VanGogh Imaging
  • Session 2A presentation: "Programming Novel Recognition Algorithms on Heterogeneous Architectures" by Kees Vissers, Xilinx
  • Session 1B presentation: "How to Make the World More Interactive: Augmented Reality as the Interface Between Wearable Tech and the Internet of Things" by Ori Inbar,
  • Session 1B presentation: "Vision-Based Gesture User Interfaces" by Francis MacDougall, Qualcomm
  • Session 1B presentation: "Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality" by Simon Morris, CogniVue
  • Session 2B presentation: "Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications" by Rajesh Mahapatra, Analog Devices
  • Session 2B presentation: "Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It" by Goksel Dedeoglu, PercepTonic
  • Session 2B presentation: "What's New in Tools for Vision Application Design and Development?" by Jeff Bier, BDTI
  • Session 1C presentation: "The OpenVX Hardware Acceleration API for Embedded Vision Applications and Libraries" by Neil Trevett, Khronos
  • Session 1C presentation: "Computer Vision Powered by Heterogeneous System Architecture (HSA)" by Harris Gasparakis, AMD
  • Session 1C presentation: "Trends and Recent Developments in Processors for Vision" by Jeff Bier, BDTI
  • Session 2C presentation: "Challenges in Object Detection on Embedded Devices" by Adar Paz, CEVA
  • Session 2C presentation: "Implementing Histogram of...