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VisionSystemsDesign

Deep Learning for Vision Processing: In-depth Design Techniques

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Convolutional neural networks (CNNs) and other deep learning techniques are one of the hottest topics in computer vision today, as you can tell by the number of columns I've devoted to the subject. Most recently, …

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VisionSystemsDesign

Evaluating and Implementing Deep Learning Processor Alternatives for Vision

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Convolutional neural networks (CNNs) and other deep learning techniques, as I've recently noted, are quickly becoming legitimate options for implementing object recognition and other computer vision capabilities. With the growing popularity of CNNs, there’s a …

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VisionSystemsDesign

Real-life Case Studies Provide Education and Encouragement on Vision System Design Challenges and Solutions

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. The development of vision algorithms, software and systems is very much an empirical undertaking – informed more my experimentation and experience than by theory. The good news is, you don’t have to do all of …

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Eye Heart VR

This blog post was originally published at ARM's website. It is reprinted here with the permission of ARM. Welcome to the next installment of my VR blog series. In previous VR blogs we’ve considered the importance of clear focus to a VR experience, as well as the essential requirement to keep ‘motions to photons’ latency …

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VisionSystemsDesign

Deep Learning for Computer Vision: Perspectives from Algorithm, Market and Processor Experts

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Convolutional neural networks (CNNs) and other deep learning techniques are rapidly becoming key enabling technologies for applications requiring object recognition and other computer vision capabilities. I first discussed the topic of deep learning in a …

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VisionSystemsDesign

Industry Standards Simplify Computer Vision Software Development

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. When developing computer vision software, de facto standards such as the OpenCV open source computer vision library (which I mentioned in a recent column) are extremely valuable in helping you get your development done quickly …

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VisionSystemsDesign

Computer Vision for Driver Assistance: More Industry Perspectives

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Back in March, I wrote about ADAS (advanced driver assistance systems), which I noted was "quietly but quite rapidly becoming a huge technology success story." This week, I'm revisiting the topic, along with the related …

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VisionSystemsDesign

Computer Vision: The Business Side of the Equation

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Most of the discussion of computer vision these days is about the technology: algorithms, processors, image sensors, etc. While technology is obviously critical, business topics are increasingly central as well, as vision technology comes out …

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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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