Face Recognition Functions
Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions
This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded
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
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
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
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
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
“Machine Learning,” a Presentation from UT Austin
Professor Kristen Grauman of the University of Texas at Austin presents the keynote on machine learning at the December 2012 Embedded Vision Alliance Member Summit. Grauman is a rising star in computer vision research. Among other distinctions, she was recently recognized with a Regents' Outstanding Teaching Award and, along with Devi Parikh, received the prestigious
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
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
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
Kinect For Windows Advancements: 3-D Modeling And JavaScript Projects
As I've discussed in a number of past news writeups, Microsoft has now broadened its vision for the Kinect 3-D camera (and microphone array) system beyond its Xbox 360 game console origins to also encompass computer interfaces, thereby formalizing a relationship that existed from Kinect's earliest days courtesy of the hacker community. PC-optimized hardware began
Microsoft’s Kinect for Windows SDK: More Notable Updates (Plus Expanded Hardware Availability) for Today
This morning, Microsoft unveiled the latest iteration in what has become a series of runtime and SDK updates for its Kinect for Windows peripheral. Enhanced access to the device's various sensors' data, perhaps at least in part addressing the issues that Gary Bradski raised in his recent keynote, encompasses the following improvements: Data from the
September 2012 Embedded Vision Summit Presentation: “Introduction to Embedded Vision,” Jeff Bier, Embedded Vision Alliance
Jeff Bier, Founder of the Embedded Vision Alliance and co-founder and president of BDTI, presents the day-opening "Introduction to Embedded Vision" tutorial at the September 2012 Embedded Vision Summit. Topics discussed by Bier in his presentation include a technology overview, application examples, hardware, software and development tool trends, and an overview of the Embedded Vision
September 2012 Embedded Vision Summit Afternoon Keynote: Gary Bradski, OpenCV Foundation
Gary Bradski presents the afternoon keynote at the September 2012 Embedded Vision Summit. Bradski is President and CEO of the OpenCV Foundation and Founder and Chief Technical Officer of Industrial Perception Inc. The "father of OpenCV" (the Open Source Computer Vision Library), Bradski has been the director of its development for more than 14 years,
September 2012 Embedded Vision Summit Morning Keynote: Professor Rosalind Picard, MIT Media Lab
Professor Rosalind Picard presents the morning keynote at the September 2012 Embedded Vision Summit. Professor Picard is the founder and director of the Affective Computing Research Group at the MIT Media Laboratory, co-director of the Things That Think Consortium (the largest industrial sponsorship organization at the lab) and leader of the new and growing Autism
Google’s Vision For Embedded Vision: Numerous Impressive Technology And Product Implementations
Google's various efforts in the embedded vision space have caught my news-coverage attention many times in the past. There have been, for example, a series of postings related to the imperfect but still notable first stab at facial recognition in Android v4.0 "Ice Cream Sandwich," whose technology likely comes at least in part from the
“Kinect” With NASA’s Latest Mission: A Mars Rover Landing Simulation
On Sunday evening (just a half hour beyond 4 days away, as I type this, in fact), NASA's latest Mars rover, the Mars Science Laboratory (MSL, aka "Curiosity"), will hopefully navigate to a successful landing on the Red Planet (PDF). The 11-minute video above, brought to you by the JPLnews YouTube channel, depicts key events
YouTube’s Face Detection-Based Blurring: Digital Protection From Those Intent On Harming
As the daily news reports unfortunately make regularly clear, existing among us are no shortage of sick and twisted individuals who prey on children they find via (among other avenues) published images. And those same news reports document scores of situations in which captured still photos and video footage have been used by oppressive regimes
