Picking faces out of a crowd is something humans are hardwired to do, but training computers to act in the same way is much more difficult.
There have been various breakthroughs in this field in recent months, but the latest could be the most significant yet.
Researchers from Yahoo Labs and Stanford University have developed an algorithm that can identify faces from various different angles, when part of the face is hidden and even upside down.
At the moment, the so-called Deep Dense Face Detector doesn’t recognise who the individual faces belong to, just that there is a face.
But the technology has the potential to be trained in this way.
The algorithm was built by Sachin Farfade and Mohammad Saberian at Yahoo Labs in California and Li-Jia Li at Stanford University.
It built on the Viola-Jones algorithm which spots front-facing people in images by picking out key facial features such as a vertical nose and shadows around the eyes.
By collecting these markers, the algorithm is able to determine if an image contains a face or not.
But, this did not account for faces that have been obscured, are looking in various directions, or were upside down.
With this in mind, Mr Farfade and his team used a form of machine learning known as a deep convolutional neural network.
This involves training a computer to recognise elements of images from a database using various layers.
Google used a similar technique for its recent GoogLeNet classification algorithm that can identify images within images, such as a hat on the head of a dog sat on a bench.
Mr Farfade trained his algorithm using a database of 200,000 images featuring faces shown at various angles and orientations, plus 20 million images that didn’t contain faces.
In their paper, the researchers said: ‘In this paper we propose a method based on deep learning, called Deep Dense Face Detector.’
‘It has minimal complexity…and can get similar or better performance [than other systems] while it does not require annotation or information about facial landmarks.’
And, the team said the technology could be improved following further training.
The Latest on: Facial recognition
[google_news title=”” keyword=”Facial recognition” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Facial recognition
- Revolutionizing Healthcare with AI: Introducing a Breakthrough in Patient Care through Facial Emotion Recognition Technologyon April 25, 2024 at 2:30 am
In an era where healthcare faces increasing complexity and demand, the introduction of an AI-driven facial emotion recognition device represents a significant leap forward. Device developed by ...
- Shanghai Bans Mandatory Use of Facial Recognition in Hotelson April 24, 2024 at 10:04 pm
Local authorities say forcing guests to use face scanners during check-in will be “strictly forbidden,” as the practice represents a privacy and data security risk.
- Pittsburgh airport rolls out facial ID tech for improved security and passenger safetyon April 24, 2024 at 8:19 pm
Pittsburgh International Airport is implementing ID facial recognition technology to help ensure safety for both staff and passengers.What once was the TSA offi ...
- AI can apparently predict a person's political stance just by reading their faceon April 24, 2024 at 3:50 pm
A study recently published in the peer-reviewed American Psychologist journal claims that a combination of facial recognition and artificial intelligence technology can accurately assess a person’s ...
- Border agency eyes smartphone facial recognition system amid privacy concernson April 24, 2024 at 2:20 pm
Travellers would be able to use facial recognition technology to identify themselves through their smartphones when crossing the border under a planned federal project.
- Login.gov names new director ahead of facial recognition piloton April 24, 2024 at 9:15 am
Hanna Kim, who started as deputy director for Login.gov in January, will serve as its director starting in May. She will replace Dan Lopez-Braus.
- AI can predict your political beliefs using facial recognitionon April 24, 2024 at 6:01 am
Recent studies have underscored the potential privacy risks, associated with facial recognition technologies. A report in the American Psychologist journal reveals that artificial intelligence (AI), ...
- Supermarket facial recognition failure—why automated systems must put the human factor firston April 22, 2024 at 8:37 am
The incident of a woman misidentified by facial recognition technology at a Rotorua supermarket should have come as no surprise.
- How Israel uses facial-recognition systems in Gaza and beyondon April 19, 2024 at 1:27 pm
Few countries have experimented with the technology as extensively as Israel, which the New York Times recently reported has developed new facial-recognition systems and expanded its surveillance ...
- Decoding distinctions in biometricson April 19, 2024 at 4:01 am
It depends. “Facial recognition” and “facial analysis” are two taxonomically similar terms, both referring to the process by which a series of algorithms register and make decisions about a given ...
via Bing News