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A brand new augmented reality computer programme can edit colors and materials in video streams in realtime
Augmented reality (AR) has once more come into the highlight for the reason that cell phone game Pokémon Go attracted greater than 75 million fans inside the space of a couple of days. In AR, images or videos of an actual scene are enhanced or altered by overlaying the image with computer-generated information. Scientists from the Max Planck Institute for Informatics have now developed a programme that may edit materials and shading/lighting in videos in a really realistic way. The Saarbrücken-based researchers consider that they’ve achieved a crucial step forward for AR applications.
Recoloured by computer: A programme developed by computer scientists in Saarbrücken changes the color of surfaces in videos and does so photorealistically and in real time. For example, a lady’s T-shirt appears blue as a substitute of red.
Recoloured by computer: A programme developed by computer scientists in Saarbrücken changes the color of surfaces in videos and does so photorealistically and in real time. For example, a lady’s T-shirt appears blue as a substitute of red.
© MPI for Informatics
Pokémon Go, a game for portable devices like Smartphones and tablets, has given a fresh boost to augmented reality. The Saarbrücken-based computer scientists have taken the technology to a brand new level of quality in that they not overlay real digital image with visual information. Instead, the image is realistically altered. Using this approach, they’ll impart a special color or texture to a surface, making it appear different to what it looks like in point of fact.
That sounds easier than it’s: “The color value a camera assigns to individual pixels is, in easy terms, at all times the product of reflection and illumination,” explains Christian Theobalt, Leader of the Graphics, Vision & Video Group on the Max Planck Institute for Informatics on the Saarland Informatics Campus in Saarbrücken. “However, the issue is that the 2 elements on this calculation are only not directly contained within the image. This signifies that they’ll’t be measured,” he adds.
Only the illumination or the reflection is altered
Together with the 2 Max Planck researchers Abhimitra Meka and Michael Zollhöfer in addition to Christian Richardt from the University of Bath and the Intel Visual Computing Institute, he solved this problem in a singular way. “By estimating the illumination and degree of reflection for every pixel in a fraction of a second and changing only one in all the 2 aspects, we’re in a position to preserve a practical impression,” Theobalt explains. This estimate is predicated on mathematical optimization processes. Because the software makes these calculations in parallel, the changes are applied so quickly that even the live stream of a traditional webcam may be processed.
Using a surprisingly easy setup, the researchers exhibit what their programme can do: A young woman is standing in a room in front of a mobile white board and a big plant. She is wearing a red T-shirt emblazoned with a big white logo. A webcam movies her, however the T-shirt that appears on the screen of the connected monitor shouldn’t be red, but blue and after the fabric modification still interacts realistically with the scene illumination. And that’s the only difference between the scene within the room and the scene on the screen.
A cotton shirt becomes a velvet one
Moreover, the programme can change greater than just the colors. The scientists may even mimic other materials by modifying the degree of reflection. For example, the software can transform a cotton shirt right into a velvet one.
“At present, no other technique can achieve this so quickly and with the assistance of an easy camera,” says Abhimitra Meka, who developed the software as a part of his doctoral dissertation at Saarland University. The Max Planck scientists are due to this fact curious as to the long run applications of the algorithm. Some obvious applications are in the pc games and the style industry. Theobalt believes that online retailers could also profit: “Imagine, you’re considering a brand new sofa in a special color. Our programme will help you check whether the color you may have in mind will match the lighting in your lounge. You don’t even have to depart your seat.”
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