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May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue

Algorithms, Augmented Reality, Edge AI and Vision Alliance, NXP Semiconductors, Processors, Software, Tools, Videos /

Simon Morris, CEO of CogniVue, presents the "Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality" tutorial at the May 2014 Embedded Vision Summit. Augmented reality (AR) applications are based on accurately computing a camera's 6 degrees of freedom (6DOF) position in 3-dimensional space, also known as its "pose". In vision-based approaches to AR, […]

May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Vision-Based Gesture User Interfaces,” Francis MacDougall, Qualcomm

Algorithms, Gesture Control, Processors, Qualcomm, Sensors, Software, Tools, Videos /

Francis MacDougall, Senior Director of Technology at Qualcomm, presents the "Vision-Based Gesture User Interfaces" tutorial at the May 2014 Embedded Vision Summit. The means by which we interact with the machines around us is undergoing a fundamental transformation. While we may still sometimes need to push buttons, touch displays and trackpads, and raise our voices,

May 2014 Embedded Vision Summit Technical Presentation: “Vision-Based Gesture User Interfaces,” Francis MacDougall, Qualcomm Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Programming Novel Recognition Algorithms on Heterogeneous Architectures,” Kees Vissers, Xilinx

Algorithms, AMD, Processors, Software, Tools, Videos /

Kees Vissers, Distinguished Engineer at Xilinx, presents the "Programming Novel Recognition Algorithms on Heterogeneous Architectures" tutorial at the May 2014 Embedded Vision Summit. The combination of heterogeneous systems, consisting of processors and FPGA, is a high-performance implementation platform for image and vision processing. One of the significant hurdles in leveraging the compute potential was the

May 2014 Embedded Vision Summit Technical Presentation: “Programming Novel Recognition Algorithms on Heterogeneous Architectures,” Kees Vissers, Xilinx Read More +

“Convolutional Neural Networks,” an Embedded Vision Summit Keynote Presentation from Facebook

Algorithms, Edge AI and Vision Alliance, Object Identification, Processors, Software, Tools, Videos /

Yann LeCun, Director of AI Research at Facebook and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, presents the "Convolutional Networks: Unleashing the Potential of Machine Learning for Robust Perception Systems" keynote at the May 2014 Embedded Vision Summit. Convolutional Networks (ConvNets) have become the dominant method

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May 2014 Embedded Vision Summit Technical Presentation: “Fast 3D Object Recognition in Real-World Environments,” Ken Lee, VanGogh Imaging

Algorithms, Edge AI and Vision Alliance, Object Identification, Processors, Software, Tools, Videos /

Ken Lee, Founder of VanGogh Imaging, presents the "Fast 3D Object Recognition in Real-World Environments" tutorial at the May 2014 Embedded Vision Summit. Real-time 3D object recognition can be computationally intensive and difficult to implement when there are a lot of other objects (i.e. clutter) around the target. There are several approaches to deal with

May 2014 Embedded Vision Summit Technical Presentation: “Fast 3D Object Recognition in Real-World Environments,” Ken Lee, VanGogh Imaging Read More +

“Self-Driving Cars,” an Embedded Vision Summit Keynote Presentation from Google

Automotive, Edge AI and Vision Alliance, Sensors, Software, Videos /

Nathaniel Fairfield, Technical Lead at Google, presents the "Self-Driving Cars" keynote at the May 2014 Embedded Vision Summit. Self-driving cars have the potential to transform how we move: they promise to make us safer, give freedom to millions of people who can't drive, and give people back their time. The Google Self-Driving Car project was

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May 2014 Embedded Vision Summit Technical Presentation: “Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking,” Chris Rowen, Cadence

Algorithms, Cadence, Processors, Software, Tools, Videos /

Chris Rowen, Fellow at Cadence, presents the "Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking" tutorial at the May 2014 Embedded Vision Summit. This presentation looks at a cross-section of advanced feature detectors, and considers the algorithm, bit precision, arithmetic primitives and implementation optimizations that yield high pixel processing rates,

May 2014 Embedded Vision Summit Technical Presentation: “Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking,” Chris Rowen, Cadence Read More +

May 2014 Embedded Vision Summit Technical Presentation: “How to Create a Great Object Detector,” Avinash Nehemiah, MathWorks

Algorithms, MathWorks, Object Identification, Object Tracking, Software, Tools, Videos /

Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Create a Great Object Detector" tutorial at the May 2014 Embedded Vision Summit. Detecting objects of interest in images and video is a key part of practical embedded vision systems. Impressive progress has been made over the past few years by

May 2014 Embedded Vision Summit Technical Presentation: “How to Create a Great Object Detector,” Avinash Nehemiah, MathWorks Read More +

March 2014 Game Developer Conference Demonstration: SoftKinetic

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Eric Krzeslo, Chief Marketing Officer of SoftKinetic, demonstrates the company's 3D time-of-flight vision sensor technology and its gesture-control middleware at the March 2014 Game Developer Conference. The demonstrations took place on a range of platforms, from an Android tablet to the NVIDIA Shield portable gaming device to a set of Oculus VR virtual reality goggles.

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GPUTech

Embedded Vision: Enabling Smarter Mobile Apps and Devices

Algorithms, NVIDIA, Processors, Sensors, Software, Tools, Videos /

For decades, computer vision technology was found mainly in university laboratories and a few niche applications. Today, virtually every tablet and smartphone is capable of sophisticated vision functions such as hand gesture recognition, face recognition, gaze tracking, and object recognition. These capabilities are being used to enable new types of applications, user interfaces, and use

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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