Webcam Builds Instant 3D Model Of Moving Hand

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Webcam Builds Instant 3D Model Of Moving Hand
June 11, 2018
Franziska Müller, Max Planck Institute for Informatics, has developed a software system that requires only the built-in camera of a laptop to produce a real-time 3-D model of a moving hand.
CREDIT: OLIVER DIETZE

 

For the first time, the researchers will be presenting the program at stand G75 in hall 27 of the computer fair Cebit, which will take place in Hannover from June 11th onward.

 

If the computer scientist Franziska Müller holds her hand in front of the laptop camera, the hand's virtual counterpart appears on the screen. Immediately this is overlaid by a colorful virtual hand skeleton. No matter what movements Müller's hand makes in front of the webcam, the colored bones of the model do the same.

 

Müller demonstrates the software she developed together with Professor Christian Theobalt and other researchers from the Max Planck Institute for Computer Science in Saarbrücken, Stanford University and the Spanish King Juan Carlos University. So far no other software can do this with such a low-cost camera.

 

Since it works in almost every kind of filmed scene, it can be used anywhere, and thus trumps previous approaches that require a depth camera or multiple cameras. The algorithm, with which the software transforms the two-dimensional information of the video image in real time into the three-dimensional movement model of the hand's bones, is based on a special kind of neural network: a so-called "convolutional neural network" or CNN for short. The researchers have trained it to detect the bones of the hand.

 

They have generated the necessary training data with another neural network. The result: The software calculates the exact 3D poses of the hand's bones in milliseconds. Even if some of them are occluded, for example by an apple being held in the hand, this does not affect the software. Only several hands working together still confuse the software. Solving this is the researchers' next goal.

 

More information:

http://handtracker.mpi-inf.mpg.de/projects/GANeratedHands/

Press photos: http://www.uni-saarland.de/pressefotos

 

Questions can be directed to:

Franziska Müller 
Max Planck Institute for Informatics 
Saarland Informatics Campus E1.4 
E-mail: frmueller@mpi-inf.mpg.de 
Phone: +49 681 9325 4057

 

Editor:

Gordon Bolduan 
Science Communication 
Competence Center Computer Science Saarland 
Saarland Informatics Campus 
E-mail: bolduan@mmci.uni-saarland.de 
Phone: +49 681 302 70741

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