Blog Posts

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 […]

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

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Despite improved tools, libraries and APIs, computer vision software development remains challenging. Several presentations at the recent Embedded Vision Summit addressed various aspects of the computer vision software development process, both as it currently exists

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. “The Embedded Vision Summit is bigger than ever,” I wrote in last year’s show report. It was the same again this year. With over 40 exhibitors and 1000 registrations, the show again grew 30-40%. Besides attracting more

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. I last explored the subject of computational photography and camera image processing in a column published a month ago. One week later, I had the pleasure of moderating a technical presentation track at the Embedded

This blog post was originally published in the late May 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. Last summer, I wrote that the time was ripe for deployment of neural networks in mass-market applications. Last week, Google validated this point of view by announcing that is has

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. In a column published two months ago, I discussed the compelling potential and increasingly proven reality of convolutional neural networks and other deep learning techniques for solving a variety of longstanding computer vision challenges. And

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Over the past several weeks, as regular readers may have noticed, I've mentioned the upcoming Embedded Vision Summit, managed by the Embedded Vision Alliance (for which I act as editor-in-chief). "Upcoming" is "now", actually; as

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. The enhancement of photographs and videos by means of digital computation, versus traditional "darkrooms," has typically required offline processing on a substantive standalone computer. Witness, for example, the longstanding popularity of multiple generations' worth of