In previous blog posts, we have demonstrated using neural networks to do things such as object recognition and digit recognition. In this post, we will
Tag: Computer Vision
These days we seem to take it for granted how powerful and sophisticated computers have become. We can talk to our phones and our Bluetooth
This week at the Embedded Vision Summit in California we are showcasing our latest Convolutional Neural Network (CNN) object recognition demo. Since launching the original
You may already have seen that Imagination has announced that its PowerVR GPUs are the first to achieve conformance with the OpenVX 1.1 specification from
It was clear last week at the annual Embedded Vision Summit in Santa Clara that the time of computer vision and deep learning on mobile
About a month before CES 2015 I wrote an in-depth blog article about our PowerVR Series7XT GPUs, presenting the industry-leading performance efficiency gains made since
Imagination’s R&D group has developed a face detection algorithm, which is based on a classifier cascade and is optimized to run on mobile devices comprising
Modern mobile application processors are highly heterogeneous, combing a variety of different hardware components optimized for different tasks. As shown in the figure below, a
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.
Heterogeneous architectures in embedded computing are fast becoming a reality – we indeed see many leading IP and semiconductor companies today building heterogeneous computing hardware.
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It was 20 years ago today (well yesterday, strictly speaking, but close enough) that Sega released the Dreamcast onto the world in the US, with the Japanese and European launches following on later that year. While its reign was short
Want to know more about physically-based rendering and image-based lighting for PowerVR? Check out our handy guide in our new blog post.
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