5 citations · 12 across the 17 of their papers we have counts for
3 papers · 1 filter
CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database
Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki
Dense 3D shape acquisition of swimming human or live fish is an important research topic for sports, biological science and so on. For this purpose, active stereo sensor is usually…
Multi-scale CNN stereo and pattern removal technique for underwater active stereo system
Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki
Demands on capturing dynamic scenes of underwater environments are rapidly growing. Passive stereo is applicable to capture dynamic scenes, however the shape with textureless surfa…
Representing a Partially Observed Non-Rigid 3D Human Using Eigen-Texture and Eigen-Deformation
Ryosuke Kimura, Akihiko Sayo, Fabian Lorenzo Dayrit +4
Reconstruction of the shape and motion of humans from RGB-D is a challenging problem, receiving much attention in recent years. Recent approaches for full-body reconstruction use a…