Algorithms

GPUTech

Real-Time Traffic Sign Recognition on Mobile Processors

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 +

GPUTech

Getting Started With GPU-Accelerated Computer Vision Using OpenCV and CUDA

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 +

johnday-blog

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

Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions Read More +

“Computational Photography: An Introduction and Highlights of Recent Research,” a Presentation from the University of Wisconsin

Professor Li Zhang of the University of Wisconsin presents an introduction to computational photography at the December 2013 Embedded Vision Alliance Member Meeting.

“Computational Photography: An Introduction and Highlights of Recent Research,” a Presentation from the University of Wisconsin Read More +

December 2013 Embedded Vision Alliance Member Meeting Presentation: “OpenVX, the New Hardware Acceleration API for Computer Vision Applications and Libraries,” Neil Trevett, Khronos

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.

December 2013 Embedded Vision Alliance Member Meeting Presentation: “OpenVX, the New Hardware Acceleration API for Computer Vision Applications and Libraries,” Neil Trevett, Khronos Read More +

“Computational Imaging: From Research to Product,” a Presentation from Personify

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 +

October 2013 Embedded Vision Summit Technical Presentation: “Implementing Real-Time Hyperspectral Imaging,” Kalyanramu Vemishetty, National Instruments

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

October 2013 Embedded Vision Summit Technical Presentation: “Implementing Real-Time Hyperspectral Imaging,” Kalyanramu Vemishetty, National Instruments Read More +

Stereo Vision for 3D Depth Perception

Jeff Bier, founder of the Embedded Vision Alliance, interviews Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments. Beginning with a hands-on demonstration of TI's real-time stereo vision prototype on the C6678 Keystone DSP, Jeff and Goksel touch upon various trade-offs in designing a stereo depth camera: the separation between the sensors, image resolution, field-of-view, and finally,

Stereo Vision for 3D Depth Perception Read More +

Lucas-Kanade Feature Tracking

Jeff Bier, founder of the Embedded Vision Alliance, interviews Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments. They begin with a hands-on demonstration of real-time Lucas-Kanade tracking using TI's Vision Library VLIB on the C6678 Keystone DSP, wherein thousands of Harris corner features are detected and tracked in 1080p HD resolution images at 15 frames per

Lucas-Kanade Feature Tracking Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications,” Ilan Yona, CEVA

Ilan Yona, Director of Imaging and Computer Vision at CEVA, presents the "Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. Image quality is a critical challenge in many applications, including smart phones, especially when using

October 2013 Embedded Vision Summit Technical Presentation: “Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications,” Ilan Yona, CEVA 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.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top