This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. Computer vision is the use of computers to extract useful meaning from images, such as those that arise from photographs, video and real-time camera feeds. Thanks to […]
This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. In this third and last part of this blog series we are going to extend the mixed-radix FFT OpenCL™
From drones to handheld devices, the rising demand for video cameras has made them ubiquitous, constantly driving down size and cost while pushing up resolution and overall quality. One of the main challenges in this field is stabilizing the image to generate clear, smooth footage. In this post, I would like to discuss the challenges
Digital Video Stabilization: Smooth Footage Without Expensive Mechanics Read More +
This article was originally published at ARM’s website. It is reprinted here with the permission of ARM. For more information, please see ARM’s developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. Here we are for the second part of our blog series about the OpenCL™ implementation of Complex to Complex
In this edition of Embedded Vision Insights: Embedded Vision Summit Program Updates A Self-Driving Car Keynote from Google Image Recognition Via Convolutional Neural Networks Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, With only three months to go until the Embedded Vision Summit, May 2-4 in Santa Clara, California, the conference organizers
Embedded Vision Insights: February 2, 2016 Edition Read More +
This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In a previously published article, I offered a quick guide to writing OpenCL kernels for PowerVR Rogue GPUs; this sets the scene for what follows next: a
Heterogeneous Compute Case Study: Image Convolution Filtering Read More +
Stefan Heck of Nauto delivers the presentation, "A Vision of Safety," at the December 2015 Embedded Vision Alliance Member Meeting. Heck explain how his innovative start-up is using embedded vision to bring improved safety to existing vehicles, reducing insurance costs in the process.
“A Vision of Safety,” a Presentation from Nauto Read More +
This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. This is the first article of three that will focus on the implementation of Fast Fourier Transform (FFT) using
In this edition of Embedded Vision Insights: Recent and Upcoming Vision Events Embedded Vision Performance and Energy Optimization New Low Power Image Recognition Competition Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Recently, I spent three days at the Consumer Electronics Show. It was time very well spent. Many of the vision-based
Embedded Vision Insights: January 19, 2016 Edition Read More +
Spend any amount of time researching the topic of deep learning and you'll inevitably come across the term Caffe. This convolutional neural network (CNN) framework, originally named DeCAF, was initially developed by Yangqing Jia (now a research scientist at Google), during his Ph.D. program at the University of California, Berkeley. It is now maintained by
The Caffe Deep Learning Framework: An Interview with the Core Developers 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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