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Face Detection

October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical

Michael Tusch, Founder and CEO of Apical Imaging, presents the "Better Image Understanding Through Better Sensor Understanding" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. One of the main barriers to widespread use of embedded vision is its reliability. For example, systems which detect […]

October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys

Tom Michiels, R&D Manager at Synopsys, presents the "Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. Pedestrian detection is an important function in a wide range of applications, including automotive safety systems, mobile applications, and industrial automation. A

October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys Read More +

September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI

Eric Gregori, Senior Software Engineer at BDTI, presents the "Accelerating Computer Vision Applications with the Hexagon DSP" tutorial at the September 2013 Qualcomm UPLINQ Conference. Smartphones, tablets and embedded systems increasingly use sophisticated vision algorithms to deliver capabilities like augmented reality and gesture user interfaces. Since vision algorithms are computationally demanding, a key challenge when

September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI 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 +

GPUTEch

Face Recognition: Learn About GPU Acceleration

Professor Brian Lovell of the University of Queensland, Australia, who's also Chief Technical Officer at Imagus Technology, is a well-known figure in the fields of fields of computer vision and pattern recognition. Lovell is also a long-time advisor to (and advocate of) the Embedded Vision Alliance. On Tuesday November 5 at 9AM PT, Lovell and

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Figure4

Embedded Vision on Mobile Devices: Opportunities and Challenges

by Tom Wilson CogniVue Brian Dipert Embedded Vision Alliance This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Courtesy of service provider subsidies coupled with high shipment volumes, relatively inexpensive smartphones and tablets supply formidable processing capabilities: multi-core GHz-plus CPUs and graphics processors, on-chip DSPs

Embedded Vision on Mobile Devices: Opportunities and Challenges Read More +

xbox-one-kinect-hal-640x353

Microsoft Kinect For Windows 2.0: Developer Registration Is A “Go”

For those of you who haven't already heard, Microsoft unveiled its next-generation Xbox One game console in late May, containing a bundled next-generation "Kinect 2.0" peripheral. Whereas the first-generation Kinect employs a structured light approach to 3-D sensing, "Kinect 2.0" leverages a time-of-flight technique courtesy of Microsoft's 2010 acquisition of Canesta. The included image sensor

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December 2012 Embedded Vision Alliance Member Summit Technology Trends Presentation

Embedded Vision Alliance Editor-in-Chief (and BDTI Senior Analyst) Brian Dipert and BDTI Senior Software Engineer Eric Gregori co-deliver an embedded vision application technology trends presentation at the December 2012 Embedded Vision Alliance Member Summit. Brian and Eric discuss embedded vision opportunities in mobile electronics devices. They quantify the market sizes and trends for smartphones and

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PhotoSphere

Android 4.2: Still “Jelly Bean”, But A Beefier Panorama Mode And Other Features For You

Google didn't evolve the project name when incrementing from Android 4.1 (introduced in late June) to the more recent and latest 4.2 release. However, the newest "Jelly Bean" version makes several notable imaging improvements that will be of interest to embedded vision application developers. First off is Photo Sphere, an enhanced version of the traditional

Android 4.2: Still “Jelly Bean”, But A Beefier Panorama Mode And Other Features For You Read More +

Beer

ID’ing The Intoxicated: Embedded Vision Picks Out The Inebriated

Speaking of infrared imaging…researchers Georgia Koukiou and Vassilis Anastassopoulos of the University of Patras in Greece recently published (in the International Journal of Electronic Security and Digital Forensics) the results of a study of 20 volunteers to test sobriety (or not) by means of computer algorithms. By doing infrared scans of the volunteers' faces both

ID’ing The Intoxicated: Embedded Vision Picks Out The Inebriated Read More +

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