Egocentric View
Visual data captured from the first-person perspective of a camera wearer, in which the wearer's own hands are treated as part of the self and are semantically distinct from the hands of other people in the scene.
Timeline (last 90 days)
MEgoVista's hand tracking method has two steps: the first step uses a detector to distinguish the camera wearer's own hands from other people's hands, the second step tracks across frames to keep identities consistent, and then 3D motion reconstruction is performed.
MEgoVista's first-step detector is essentially performing hand attribution classification in egocentric scenes, with one extra identity dimension compared to generic hand detection.
The egocentric perspective uses the observer's own position as the frame of reference, while the non-egocentric perspective uses a fixed reference object in the environment or a third-party position as the baseline
All Facts (3)
MEgoVista's hand tracking method has two steps: the first step uses a detector to distinguish the camera wearer's own hands from other people's hands, the second step tracks across frames to keep identities consistent, and then 3D motion reconstruction is performed.
50%UnverifiedMEgoVista's first-step detector is essentially performing hand attribution classification in egocentric scenes, with one extra identity dimension compared to generic hand detection.
50%UnverifiedThe egocentric perspective uses the observer's own position as the frame of reference, while the non-egocentric perspective uses a fixed reference object in the environment or a third-party position as the baseline
50%