| Title | Smartphone Videos Produce Highly Realistic 3D Face Reconstructions | |
| Date | Thursday April 02 2020, @06:37AM | |
| Author | Fnord666 | |
| Topic | ||
| from the picture-this dept. | ||
Arthur T Knackerbracket has found the following story:
Normally, it takes pricey equipment and expertise to create an accurate 3D reconstruction of someone's face that's realistic and doesn't look creepy. Now, Carnegie Mellon University researchers have pulled off the feat using video recorded on an ordinary smartphone.
Using a smartphone to shoot a continuous video of the front and sides of the face generates a dense cloud of data. A two-step process developed by CMU's Robotics Institute uses that data, with some help from deep learning algorithms, to build a digital reconstruction of the face. The team's experiments show that their method can achieve sub-millimeter accuracy, outperforming other camera-based processes.
A digital face might be used to build an avatar for gaming or for virtual or augmented reality, and could also be used in animation, biometric identification and even medical procedures. An accurate 3D rendering of the face might also be useful in building customized surgical masks or respirators.
"Building a 3D reconstruction of the face has been an open problem in computer vision and graphics because people are very sensitive to the look of facial features," said Simon Lucey, an associate research professor in the Robotics Institute. "Even slight anomalies in the reconstructions can make the end result look unrealistic."
Laser scanners, structured light and multicamera studio setups can produce highly accurate scans of the face, but these specialized sensors are prohibitively expensive for most applications. CMU's newly developed method, however, requires only a smartphone.
[...] In addition to face reconstructions, the CMU team's methods might also be employed to capture the geometry of almost any object, Lucey said. Digital reconstructions of those objects can then be incorporated into animations or perhaps transmitted across the internet to sites where the objects could be duplicated with 3D printers.
Reference
Shubham Agrawal, Anuj Pahuja, Simon Lucey. High Accuracy Face Geometry Capture using a Smartphone Video, arxiv (PDF)
-- submitted from IRC
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printed from SoylentNews, Smartphone Videos Produce Highly Realistic 3D Face Reconstructions on 2024-04-19 16:35:42