Neil Trevett, President of Khronos and Vice President at NVIDIA, delivers the standards presentation, "Recent Developments in Khronos Standards for Embedded Vision," at the March 2014 Embedded Vision Alliance Member Meeting.
Do you want to write your own blazing fast, interactive mobile apps using computer vision technology? Apps that can make your camera smarter, find people's faces, understand their gestures, interpret scenes and augment them with graphics? The Tegra super chip and the OpenCV for Tegra library can help you to do just that! OpenCV for
Introduction to OpenCV for Tegra Read More +
There is a growing need for fast and power-efficient computer vision on embedded devices. This session will focus on computer vision capabilities on embedded platforms available to ADAS developers, covering the OpenCV CUDA implementation and the new computer vision standard, OpenVX. In addition, Itseez traffic sign detection will be showcased. The algorithm is capable of
Real-Time Traffic Sign Recognition on Mobile Processors Read More +
OpenCV is a free library for research and commercial purposes that includes hundreds of optimized computer vision and image processing algorithms. NVIDIA and Itseez have optimized many OpenCV functions using CUDA on desktop machines equipped with NVIDIA GPUs. These functions are 5 to 100 times faster in wall-clock time compared to their CPU counterparts. Anatoly
Getting Started With GPU-Accelerated Computer Vision Using OpenCV and CUDA Read More +
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
Professor Li Zhang of the University of Wisconsin presents an introduction to computational photography at the December 2013 Embedded Vision Alliance Member Meeting.
Neil Trevett, President of Khronos and Vice President at NVIDIA, presents on the just-released OpenVX 1.0 provisional specification at the December 2013 Embedded Vision Alliance Member Meeting. OpenVX is a hardware acceleration API for computer vision applications and libraries.
Professor Sanjay Patel shares insights from his research on computational imaging at the University of Illinois, and from his experience at Personify, the vision-based start-up that he co-founded, at the December 2013 Embedded Vision Alliance Member Meeting.
“Computational Imaging: From Research to Product,” a Presentation from Personify Read More +
Kalyanramu Vemishetty, Senior Systems Engineer at National Instruments, presents the "Implementing Real-Time Hyperspectral Imaging tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. Hyperspectral imaging enables vision systems to use many spectral bands rather than just the typical red, green, blue bands. This can be
Google's Android 4.4 (KitKat) O/S shipped with some hidden Java APIs for the new Camera 3 Framework. This slide deck was presented by Aptina's Balwinder Kaur at AnDevCon 2013, held in Burlingame, California on November 15, 2013. It covers the history of the Camera Framework, the new hidden APIs in Android 4.4, and some basics
Camera 3: The New Camera Subsystem in Android 4.4 “KitKat” 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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