Researchers create digital objects from incomplete 3-D data

"Although the 3D scanning technology has made significant progress in recent

a

years, it is still a challenge to capture the geometry and shape of a

real object digitally and automatically," explains Mario Fritz, who leads the group "Scalable Learning and Perception" at the Max Planck Institute for Informatics. According to Fritz, depth sensors, such as those of the Microsoft Kinect, are very powerful, but unfortunately they do not work equally well on all materials, which leads to noisy data or even missing measurements. "The resulting flawed or even incomplete 3D geometries then pose a real problem for a range of applications, for example in virtual or augmented reality, working together with robots, or 3D printing," explains Mario Fritz.
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