Image Processing



Rare genetic conditions could be spotted by taking detailed 3D scans of children's faces

Daily Mail

It is estimated that one in three rare and genetic diseases show up in these features, which could aid an earlier diagnosis. Researchers from Curtin University in Australia have developed a tool, as part of the Cliniface project, which scans the face, creating a 3D image. It then measures the distance between facial features and compares them with the average measurement for their ethnicity, sex and age according to their system. By way of example, they use Foetal Alcohol Spectrum Disorders (FASD), an umbrella term used to describe the range of effects caused by alcohol exposure in the uterus. Researchers have developed a too, called Cliniface, which scans the person's face and then creates a 3D image of it.


Artificial Intelligence Can Now Manipulate Medical Images Well...

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Sometime in the early 2000s, while sitting in my dentist's chair, I began to wonder about the potential real-world pain that someone could potentially inflict on another human being simply by hacking the new digital x-ray system that the dentist had installed. Would it be possible, for example, for a hacker to modify the digital images from the x-rays so that the dentist would not be able to find and repair painful cavities, or to cause the dentist to perform an unnecessary root canal, filling, or other procedure? How certain could I be that the images of my own teeth were not tampered with? Several years later, when I had my a digital MRI after an auto accident, I wondered even further – could hackers modify images in such a manner so as to cause a person to have his head cut open to remove a tumor when, in fact, he had no tumors? Or to cause a scan to appear normal when the victim actually had a life threatening condition requiring immediate attention?


25 DeepTech News Briefs

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The Stanford Institute for Human-Centered AI officially launched today. Stanford HAI seeks to become an interdisciplinary global AI hub and to fundamentally change the field of AI by integrating a wide range of disciplines and prioritizing true diversity of thought. Researchers in Korea analyzed literature evaluating 516 AI algorithms for medical image analysis and found that only 6% validated their AI and 0% were ready for clinical use. This lack of appropriate clinical validation is referred to as digital exceptionalism. An analysis of 47 biomedical unicorns found that most of the highest valued startups in healthcare have a limited or non‐existent participation in the publicly available scientific literature.


What is image analysis?

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It can be as simple as scanning a barcode, or as complex as PiP. Yep… one of the most advanced pet identification systems out there... PiP is a smartphone app created for pet owners who've lost their cat, dog, fish. Should you misplace your pet, its photo will be analyzed and matched with photos of pets that have been found wandering the streets. Image analysis is used to beat lost tags, outdated microchips, and fading tattoos. Teaching a computer to see, is no walk in the park.


11 Myths About Artificial Intelligence and the Edge

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True, AI began as a sci-fi fantasy popularized by visionary writers, but AI is here and now. There are many current applications, depending on how you define artificial intelligence. Although, after solving what was once a complex AI problem, it quickly seems obvious and therefore less "intelligent." In the U.S., one of the first examples of AI being used at the edge concerned handwriting recognition of checks. The smart home is full of AI at the edge with devices that learn behavior patterns: ovens that pre-heat when you leave work; thermostats that save money by not heating the home when no one is home; and lights that learn preferences based on different activities humans are engaged in within a room.


Haar-like feature - Wikipedia

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Haar-like features are digital image features used in object recognition. They owe their name to their intuitive similarity with Haar wavelets and were used in the first real-time face detector.[1] Historically, working with only image intensities (i.e., the RGB pixel values at each and every pixel of image) made the task of feature calculation computationally expensive. A publication by Papageorgiou et al.[2] discussed working with an alternate feature set based on Haar wavelets instead of the usual image intensities. Viola and Jones[1] adapted the idea of using Haar wavelets and developed the so-called Haar-like features.


Large scale GAN training for high fidelity natural image synthesis

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Ian Goodfellow's tweets showing x years of progress on GAN image generation really bring home how fast things are improving. In the case of the faces, that's a GAN trained just to generate images of faces. The class-conditional GANs are a single network trained to generate images of lots of different object classes. In addition to feeding it some noise (random input), you also feed the generator network the class of image you'd like it to generate (condition it). I was drawn to this paper to try and find out what's behind the stunning rate of progress.


Microsoft launches HoloLens 2 with a strong business bent

PCWorld

At $3,500 apiece, Microsoft's HoloLens 2 may not be the transformational consumer device we were all hoping to buy. But the company addressed many of the shortcomings of the original HoloLens at the Mobile World Congress launch of the second generation, holding out hope that we may one day see a more consumer-oriented product. As Microsoft has signaled for several years now, HoloLens 2 is designed to work with its Azure cloud and business customers, complete with an intriguing new Remote Rendering technology that implies Microsoft's using the power of its Azure cloud to boost the HoloLens headset's image processing capabilities. Epic chief Tim Sweeney appeared on stage to endorse HoloLens and bring the Unreal engine to HoloLens beginning in May. He did not announce a HoloLens-specific game, though.


Microsoft launches HoloLens 2 with a strong business bent

PCWorld

At $3,500 apiece, Microsoft's HoloLens 2 may not be the transformational consumer device we were all hoping to buy. But the company addressed many of the shortcomings of the original HoloLens at the Mobile World Congress launch of the second generation, holding out hope that we may one day see a more consumer-oriented product. As Microsoft has signaled for several years now, HoloLens 2 is designed to work with its Azure cloud and business customers, complete with an intriguing new Remote Rendering technology that implies Microsoft's using the power of its Azure cloud to boost the HoloLens headset's image processing capabilities. Epic chief Tim Sweeney appeared on stage to endorse HoloLens and bring the Unreal engine to HoloLens beginning in May. He did not announce a HoloLens-specific game, though.