Depth image compression by colorization

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Depth image compression by colorization

One depth camera, running at 90 frames per second can generate millions of depth pixel data points per second. With such a large amount of data, there’s an obvious need for compression to assist with data storage and transmission, especially crucial when you move from single camera usages to multiple camera setups, like those used…

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How robotics is the next big thing

Robotic Automation

In a rapidly changing world, it’s hard to predict where technology will gain traction in different markets and when. It’s worth taking a look at those areas of robotics and automation that are likely to grow in the next few years, in part due to increased demand but also the increasing advances in robotics capabilities.…

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Depth and Healthcare

Between 2015 and 2030, the number of people in the world over 60 is expected to grow to as many as 1.5 billion people. By 2050, that number will jump to two billion. In the USA alone, this number is expected to be as many as 100 million people by 2060. There are many challenges…

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New Subpixel Linearity update for Intel® RealSense™ Depth cameras

When we measure how a depth camera performs, we look at numerous metrics, including the range, the depth noise, the accuracy, temporal noise, the XY resolution, and the depth (or Z) resolution, to name a few. Although it isn’t discussed as often, one of the most important features specific to stereo depth algorithms relates to…

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Intel® RealSense™ SDK 2.0 and OpenNI2®

As a developer, it’s always challenging to pick which hardware makes the most sense to invest your time and money in – will that hardware still be available when your product comes to market? Is it future proof? How can you ensure that your project won’t require a major rewrite every time you change hardware,…

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USB2 Support for Intel® RealSense™ Technology

Intel® RealSense™ is pleased to announce USB2 support on Intel® RealSense™ D400 Series cameras. Intel RealSense cameras will now be able to integrate into low power embedded designs like Raspberry Pi*. This is great news for anyone working with a small budget on lower frame rate and depth sensing projects. This integration allows independent developers, hobbyists,…

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