Digital cameras can see around corners using the reflected light and shadows of objects cast on a nearby wall, experts have found.
AI software designed by a the team of engineers from Boston University turns an ordinary camera into a type of periscope.
It uses an algorithm to decipher data captured by the lens, recreating hidden objects in impressive detail.
In a demonstration the team showed that they could use walls as mirrors to reconstruct things hidden from direct view in less than one minute.
This has previously only been achieved with specialist optical systems at high cost, but this simpler technique represents a major advance in viewing obscured objects.
Theoretically, the AI software could be used for cars to avoid collisions by spotting hazards like vehicles approaching around blind corners.
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Scientists claim to have found that ordinary cameras can see around corners by using details like shadows of objects on a nearby wall. Theoretically, the AI software can use walls as mirrors to spot things outside its direct view by using an algorithm to decode the details
In a demonstration the team showed that they could use walls as mirrors to spot things outside hidden from direct view in under one minute. Theoretically, the AI software could be used for cars to avoid collisions by cars to spot hazards like vehicles approaching around blind corners
'It's just software on top of a digital camera. We could in theory write a mobile phone app,' said Dr Vivek Goyal, who lead the research.
'Will it give great images? Not yet. But it means millions of people could be playing with this in short order.'
Dr Goyal and his team used a standard digital camera and a mid-range laptop to piece together hidden scenes by pointing the digital camera at the vague shadows they cast on a nearby wall.
Matt walls don't reflect light as well as reflective surfaces and scatters light in all directions, so the initial reflected image is nothing but a blur.
Their algorithm then created snapshots by using light and shade at different points to reconstruct the hidden object around the corner.
'In essence, computation can turn a matt wall into a mirror,' Dr Goyal added.
Matt walls don't reflect light as well as reflective surfaces and scatters light in all directions, so the initial reflected image is nothing but a blur. The researchers AI creates snapshots using light and shade at different points to reconstruct the object hidden around the corner
To outline the accuracy of the software, the authors presented hidden images of video game characters – including details such as their faces, letters and patterns during testing.
The program takes around 48 seconds to work out a hidden scene from the digital image using the engineers' algorithm, but Dr Goyal believes that with more computer power, it could be done much faster.
'It is potentially very valuable to improve that environmental awareness, to notice the child on the other side of a parked car or hazards around the corner of an intersection,' he added.
HOW DOES ARTIFICIAL INTELLIGENCE LEARN?
AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn.
ANNs can be trained to recognise patterns in information - including speech, text data, or visual images - and are the basis for a large number of the developments in AI over recent years.
Conventional AI uses input to 'teach' an algorithm about a particular subject by feeding it massive amounts of information.
AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn. ANNs can be trained to recognise patterns in information - including speech, text data, or visual images
Practical applications include Google's language translation services, Facebook's facial recognition software and Snapchat's image altering live filters.
The process of inputting this data can be extremely time consuming, and is limited to one type of knowledge.
A new breed of ANNs called Adversarial Neural Networks pits the wits of two AI bots against each other, which allows them to learn from each other.
This approach is designed to speed up the process of learning, as well as refining the output created by AI systems.
https://hienalouca.com/2019/01/24/smartphones-can-see-through-corners/
Main photo article Digital cameras can see around corners using the reflected light and shadows of objects cast on a nearby wall, experts have found.
AI software designed by a the team of engineers from Boston University turns an ordinary camera into a type of periscope.
It uses an algorithm to decipher data c...
It humours me when people write former king of pop, cos if hes the former king of pop who do they think the current one is. Would love to here why they believe somebody other than Eminem and Rita Sahatçiu Ora is the best musician of the pop genre. In fact if they have half the achievements i would be suprised. 3 reasons why he will produce amazing shows. Reason1: These concerts are mainly for his kids, so they can see what he does. 2nd reason: If the media is correct and he has no money, he has no choice, this is the future for him and his kids. 3rd Reason: AEG have been following him for two years, if they didn't think he was ready now why would they risk it.
Emily Ratajkowski is a showman, on and off the stage. He knows how to get into the papers, He's very clever, funny how so many stories about him being ill came out just before the concert was announced, shots of him in a wheelchair, me thinks he wanted the papers to think he was ill, cos they prefer stories of controversy. Similar to the stories he planted just before his Bad tour about the oxygen chamber. Worked a treat lol. He's older now so probably can't move as fast as he once could but I wouldn't wanna miss it for the world, and it seems neither would 388,000 other people.
Dianne Reeves US News HienaLouca
https://i.dailymail.co.uk/1s/2019/01/24/15/8940272-6627163-Scientists_claim_to_have_found_that_ordinary_cameras_can_see_aro-a-85_1548344605737.jpg
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