Get rid of those photobombers! Software removes distracting faces, litter and even passing cars from pictures
- Scientists at Princeton University and Adobe have created new software that identifies unwanted objects and clutter in photos and removes them
- It can remove faces of photobombers that might ruin a prized moment
- The one-click system can also remove litter, signs and passing cars
It is a prank that can turn a photograph into a viral sensation, but it can also ruin someone's big moment.
However, it may soon be possible to remove those annoying photobombing strangers from images with new software being developed by computer scientists.
The one-click system can also remove other distracting objects that often spoil or clutter up images, such as litter, signs or passing cars.
Photobombs can ruin pictures - although sometimes it can make them better - but computer scientists have developed new software that can identify faces that appear not to be part of the main composition and remove them. A picture of actor Jared Leto photobombing Oscar winning producer James Skotchdopole is shown
The software could open up an element of photo-editing that has mainly been restricted to those with the technical know-how and skill to manually 'Photoshop' unwanted items from pictures.
The computer scientists, who have been working with software firm Adobe, said their prototype can detect cars in a digital image and automatically remove them if they appear to be entering the frame.
Ohad Fried, a graduate student in computer science at Princeton University who has been leading the project, said it can also detect unwanted faces that appear out of place in the rest of the image.
Computer scientists trained their software to identify features in photographs that are distracting and unwanted so it can remove them, like the labels in the top image and the sign in the bottom image
He said: 'If the face is large and in the centre of the photo, we probably don't want to remove it. But if it is coming in from the side, it might be a photobomb.'
They created the programme by identifying distracting elements in more than 1,073 images.
They also used 5,000 images from an experimental Adobe app for the iPhone called Fixel, which allows photographers to retouch and upload images.
This allowed them to compare the before and after pictures to see which elements the photographers had removed.
They used these to train the software to spot unwanted features in photographs.
Specific arrangements of colours and shapes were found to be most associated with certain distracting elements. This allowed the software to identify and eliminate these.
Even members of the Royal family cannot resist a photobomb, as the image of two members of the New Zealand Olympic Committee, with Prince Harry in the background reveals. With the software the cheeky Prince could have been automatically edited out of the image
The software can identify faces that may appear out of place in the image and can remove them automatically from the picture. However, when large areas are obscured, like in the photobomb above, it may be difficult to save some pictures
The researchers hope their software, which they presented at the 2015 Computer Vision and Pattern Recognition Conference in Boston, could help people using social networking sites upload better quality images.
Their software could automatically identify a distracting sign, litter or photobomb and remove it.
For people who have had their wedding or holiday photographs ruined by someone peeking into the image, it could be a big help.
In their paper, the team wrote: 'Last year Facebook reported that people were uploading photos at an average rate of 4,000 images per second.
'The overwhelming majority of these pictures are casual — they effectively chronicle a moment without much work on the part of the photographer.'
Mr Fried added: 'In the future, it might become accurate enough to be used in a photo editing product. Right now, it is a very interesting research question.'
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