Researchers at the Max Planck Institute for Intelligent Systems unveil the world’s first high-resolution 4D body scanner and software to model detailed soft-tissue motion.
Everybody jiggles” according Dr. Michael Black, Director at the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen, Germany. We may not like it, but how we jiggle says a lot about who we are. Our soft tissue (otherwise known as fat and muscle) deforms, wobbles, waves, and bounces as we move. These motions may provide clues about our risk for cardiovascular disease and diabetes. They also make us look real. Digital characters either lack natural soft-tissue motion or require time-consuming animation to make them believable. Now researchers at MPI-IS have captured people and how they jiggle in exacting detail and have created realistic 3D avatars that bring natural body motions to digital characters.
The Science2Start programme is geared towards scientists interested in founding start-ups and helps putting their business ideas in the field of life sciences into practice.
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Three new members elected to the Academy
Andreas Geiger has been awarded the KIT Doctoral Award
In his PhD thesis, Andreas Geiger has developed algorithms for 3D scene perception in autonomous vehicles which can help to improve traffic safety, reduce traffic jams and enable car rides for elderly or visually impaired people. His approach combines visual recognition using stereo cameras with probabilistic models which are able to determine the location and orientation of roads, lanes and other traffic participants.
Researchers at the Max Planck Institute for Intelligent Systems unveil new technology for motion and shape capture
The new technology (MoSh) will help animators jump the “Uncanny Valley” by turning a few moving dots into detailed body shapes that jiggle and deform like real humans. Researchers at the Max Planck Institute for Intelligent Systems in Tübingen, presented their Motion and Shape Capture (MoSh) study, which appeared in the journal ACM Transactions on Graphics, at SIGGRAPH Asia in Shenzhen on December 6, 2014. Devised by a team of researchers under the direction of Michael J. Black, Director of the Perceiving Systems department, MoSh is a method that allows animators to record the three-dimensional (3D) motion and shape of a real human and digitally “retarget” it to a new body shape. With MoSh, realistic virtual humans can populate games, the Internet, and virtual reality, while reducing animation costs for the special effects industry.
KIT-Zentrum für Mobilitätssysteme zeichnet Doktorarbeit von Andreas Geiger aus
Für ein autonomes Fahrzeug bedeutet eine innerstädtische Kreuzung mit mehreren Verkehrsteilnehmern eine große Herausforderung. Wie komplexe Verkehrssituationen mithilfe von Videosequenzen besser verstanden werden können, hat Dr. Andreas Geiger in seiner Doktorarbeit gezeigt. Dafür hat er am 27. November 2014 vom KIT-Zentrum für Mobilitätssysteme den Ernst-Schoemperlen-Preis verliehen bekommen.
Michael J. Black teaches computers to analyse data on their environment as quickly and reliably as the human brain.