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"Exploiting Synergy Between Image Improvement and Image Understanding Algorithms," Michael Tusch, Apical
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"Targeting Computer Vision Algorithms to Embedded Hardware," Mario Bergeron, Avnet
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"Finding Objects Using Canny Edge Detection," Eric Gregori, BDTI
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"Porting Applications to High-Performance Imaging DSPs," Chris Rowan, Cadence
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"Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices," Adar Paz, CEVA
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"Developing Low-Cost, Low-Power, Small Vision Systems," Simon Morris, CogniVue
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"Algorithms for Object Detection and Tracking," Tim Jones, MathWorks
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"Integrating Embedded Vision and Motion Control," Christopher Malato, National Instruments
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"Why 3D Sensors Are a Game-Changer for Embedded Vision," Gershom Kutliroff, Omek Interactive
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"Using OpenCV in Industrial Robotics," Gary Bradski, OpenCV Foundation
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"Real-Time Driver Drowsiness Detection," Radhesh Bhat, PathPartner Technology
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"Heterogeneous Mobile Processing Platforms for Computer Vision Applications," Ning Bi, Qualcomm
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"Lessons Learned: FPGA Prototyping of a Processor-Based Embedded Vision Application," Markus Wloka, Synopsys
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"Embedded 3D Stereo Vision: How it Works, How to Implement It, and How to Use It," Goksel Dedeoglu, Texas Instruments
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"Software Approach for Easing Embedded Acceleration of OpenCV Applications," Mark Kulaczewski, videantis
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"Challenges and Opportunities in Accelerating OpenCV," José Alvarez, Xilinx
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"Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches," Paul Zoratti, Xilinx
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Additional Information
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