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October 2013 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, Texas Instruments

Goksel Dedeoglu, Embedded Vision R&D Manager at Texas Instruments, presents the "Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. This tutorial is intended for technical audiences interested in learning about the Lucas-Kanade …

October 2013 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, Texas Instruments Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Using FPGAs to Accelerate 3D Vision Processing: A System Developer’s View,” Ken Lee, VanGogh Imaging

Ken 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, …

October 2013 Embedded Vision Summit Technical Presentation: “Using FPGAs to Accelerate 3D Vision Processing: A System Developer’s View,” Ken Lee, VanGogh Imaging Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Feature Detection: How It Works, When to Use It, and a Sample Implementation,” Marco Jacobs, videantis

Marco Jacobs, Technical Marketing Director at videantis, presents the "Feature Detection: How It Works, When to Use It, and a Sample Implementation" tutorial within the "Object and Feature Detection" technical session at the October 2013 Embedded Vision Summit East. Feature detection and tracking are key components of many computer vision applications. In this talk, Jacobs …

October 2013 Embedded Vision Summit Technical Presentation: “Feature Detection: How It Works, When to Use It, and a Sample Implementation,” Marco Jacobs, videantis Read More +

“Embedding Computer Vision in Everyday Life,” a Keynote Presentation from iRobot

Mario E. Munich, Vice President of Advanced Development at iRobot, presents the "Embedding Computer Vision in Everyday Life" keynote at the October 2013 Embedded Vision Summit East. Munich speaks about adapting highly complex computer vision technologies to cost-effective consumer robotics applications. Munich currently manages iRobot's research and advanced development efforts. He was formerly the CTO …

“Embedding Computer Vision in Everyday Life,” a Keynote Presentation from iRobot Read More +

“High Speed Vision and Its Applications,” a Presentation from Professor Masatoshi Ishikawa

Professor Masatoshi Ishikawa of Tokyo University delivers the keynote presentation, "High Speed Vision and Its Applications — Sensor Fusion, Dynamic Image Control, Vision Architecture, and Meta-Perception," at the July 2013 Embedded Vision Alliance Member Meeting. High speed vision processing and various applications based on it are expected to become increasingly common due to continued improvement …

“High Speed Vision and Its Applications,” a Presentation from Professor Masatoshi Ishikawa Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Integrating Embedded Vision and Motion Control,” Christopher Malato, National Instruments

Christopher Malato, Systems Engineer at National Instruments, presents the "Integrating Embedded Vision and Motion Control" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit.

April 2013 Embedded Vision Summit Overview Presentation: “What Can You Do With Embedded Vision?,” Jeff Bier, Embedded Vision Alliance

Jeff Bier, founder of the Embedded Vision Alliance and co-founder and President of BDTI, 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 …

April 2013 Embedded Vision Summit Overview Presentation: “What Can You Do With Embedded Vision?,” Jeff Bier, Embedded Vision Alliance Read More +

“Machine Learning,” a Presentation from UT Austin

Professor Kristen Grauman of the University of Texas at Austin presents the keynote on machine learning at the December 2012 Embedded Vision Alliance Member Summit. Grauman is a rising star in computer vision research. Among other distinctions, she was recently recognized with a Regents' Outstanding Teaching Award and, along with Devi Parikh, received the prestigious …

“Machine Learning,” a Presentation from UT Austin Read More +

Embedded Vision Alliance Conversation with Daniel Wilding of National Instruments

Jeff Bier, founder of the Embedded Vision Alliance, interviews Daniel Wilding, National Instruments Digital Hardware Engineer. Jeff and Daniel discuss National Instruments' history, current status and future plans in the embedded vision application space, the applicability and advantages of FPGAs as embedded vision processors, and National Instruments' development tools for simplifying and otherwise optimizing FPGA-based …

Embedded Vision Alliance Conversation with Daniel Wilding of National Instruments Read More +

September 2012 Embedded Vision Summit Presentation: “Introduction to Embedded Vision,” Jeff Bier, Embedded Vision Alliance

Jeff Bier, Founder of the Embedded Vision Alliance and co-founder and president of BDTI, presents the day-opening "Introduction to Embedded Vision" tutorial at the September 2012 Embedded Vision Summit. Topics discussed by Bier in his presentation include a technology overview, application examples, hardware, software and development tool trends, and an overview of the Embedded Vision …

September 2012 Embedded Vision Summit Presentation: “Introduction to Embedded Vision,” Jeff Bier, Embedded Vision Alliance Read More +

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