2 citations · 3 across the 3 of their papers we have counts for
3 papers
EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera
Christen Millerdurai, Hiroyasu Akada, Jian Wang +5
Monocular egocentric 3D human motion capture remains a significant challenge, particularly under conditions of low lighting and fast movements, which are common in head-mounted dev…
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
Christen Millerdurai, Hiroyasu Akada, Jian Wang +3
Monocular egocentric 3D human motion capture is a challenging and actively researched problem. Existing methods use synchronously operating visual sensors (e.g. RGB cameras) and of…
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture
Hiroyasu Akada, Jian Wang, Soshi Shimada +3
We present UnrealEgo, i.e., a new large-scale naturalistic dataset for egocentric 3D human pose estimation. UnrealEgo is based on an advanced concept of eyeglasses equipped with tw…