October 2013 Embedded Vision Summit East Content

Engineers: Learn to Design Machines That See!
October 2, 2013
Westford Regency Inn and Conference Center
219 Littleton Road
Westford, MA 01886

Below is some of the content from the now-concluded October 2013 Embedded Vision Summit East. Additional content is in the process of being published; please revisit this page periodically for updates.

Note that some of the technical presentations at this event were repeats of presentations delivered at the earlier April 2013 Embedded Vision Summit San Jose, and were therefore not redundantly published this time. See the April 2013 Embedded Vision Summit San Jose content page for this additional material.

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October 2013 Embedded Vision Summit East Proceedings

Keynote Presentation

"Embedding Computer Vision in Everyday Life," Mario E. Munich, iRobot

Technical Presentations

"Better Image Understanding Through Better Sensor Understanding," Michael Tusch, Apical

"Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications," Ilan Yona, CEVA

"Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision," Tom Wilson, CogniVue

"The DARPA Visual Media Reasoning Program," Mike Geertsen, DARPA

"Implementing Real-Time Hyperspectral Imaging," Kalyanramu Vemishetty, National Instruments

"Using Synthetic Image Generation to Reduce the Cost of Vision Algorithm Development," Clark Dorman, Next Century Corporation

"Vision-Based Gesture User Interfaces," Francis MacDougall, Qualcomm

"Using Heterogeneous Computing for Mobile and Embedded Vision," Rick Maule, Qualcomm

"Tools for 'Democratizing' Computer Vision," Jayan Eledath, SRI International

"Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms," Tom Michiels, Synopsys

"Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It," Goksel Dedeoglu, Texas Instruments

"Using FPGAs to Accelerate 3D Vision Processing: A System Developer's View," Ken Lee, VanGogh Imaging

"Feature Detection: How It Works, When to Use It, and a Sample Implementation," Marco Jacobs, videantis

Product Demonstrations

Analog Devices

Apical

ARM

Avnet Electronics (Analog Devices)

Avnet Electronics (Xilinx)

BDTI

Bluetechnix

Cadence

CogniVue

Intrinsyc Software

Synopsys

Texas Instruments

videantis

Xilinx

Additional Information

If you have other questions about the Embedded Vision Summit, please contact us at summit@embedded-vision.com.

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