Algorithms

May 2014 Embedded Vision Summit Technical Presentation: “Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications,” Rajesh Mahapatra, Analog Devices

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

Rajesh Mahapatra, Engineering Manager at Analog Devices, presents the "Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications" tutorial at the May 2014 Embedded Vision Summit. Significant resemblance and overlap exist among the pre-processing blocks of different vision applications. For instance, image gradients and edges have proven beneficial for a variety of applications, such […]

May 2014 Embedded Vision Summit Technical Presentation: “Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications,” Rajesh Mahapatra, Analog Devices Read More +

“Project Tango: Integrating 3D Vision Into Smartphones,” a Presentation From Google

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Videos /

Johnny Lee, Technical Program Lead at Google, delivers the presentation "Google Project Tango: Integrating 3D Vision Into Smartphones," at the May 2014 Embedded Vision Alliance Member Meeting. Project Tango is an effort to harvest research in computer vision and robotics and concentrate that technology into a mobile platform. It uses vision and sensor fusion to

“Project Tango: Integrating 3D Vision Into Smartphones,” a Presentation From Google Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, PercepTonic

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

Goksel Dedeoglu, Ph.D., Founder and Lab Director of PercepTonic, presents the "Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It" tutorial at the May 2014 Embedded Vision Summit. This tutorial is intended for technical audiences interested in learning about the Lucas-Kanade (LK) tracker, also known as the Kanade-Lucas-Tomasi (KLT)

May 2014 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, PercepTonic Read More +

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 and Cameras, 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

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

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 +

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 +

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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