Zero Zero Hover Camera drone uses face tracking tech to follow you
Lee Mathews for Geek: Camera-toting drones that can follow a subject while they’re recording aren’t a new thing, but a company called Zero Zero is putting a very different spin on them. It’s all about how they track what’s being filmed.
Zero Zero’s new Hover Camera doesn’t require you to wear a special wristband like AirDog. There’s no “pod” to stuff in your pocket like the one that comes with Lily, and it doesn’t rely on GPS either. Instead, the Hover Camera uses its “eyes” to follow along.
Unlike some drones that use visual sensors to lock on to a moving subject, the Hover Camera uses them in conjunction with face and body recognition algorithms to ensure that it’s actually following the person you want it to follow.
For now, it can only track the person you initially select. By the time the Hover Camera goes up for sale, however, Zero Zero says it will be able to scan the entire surrounding area for faces. Cont'd...
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Face2Face: Real-time Face Capture and Reenactment of RGB Videos
From Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt and Matthias Nießner:
We present a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video stream, captured live with a commodity webcam. Our goal is to animate the facial expressions of the target video by a source actor and re-render the manipulated output video in a photo-realistic fashion. To this end, we first address the under-constrained problem of facial identity recovery from monocular video by non-rigid model-based bundling. At run time, we track facial expressions of both source and target video using a dense photometric consistency measure. Reenactment is then achieved by fast and efficient deformation transfer between source and target. The mouth interior that best matches the re-targeted expression is retrieved from the target sequence and warped to produce an accurate fit. Finally, we convincingly re-render the synthesized target face on top of the corresponding video stream such that it seamlessly blends with the real-world illumination... (full paper)
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