VR/AR and 3D Reconstruction
- Studies are conducted to extract 3D models and motions at real time with RGB- or RGB-D cameras. It can be used to develop AR systems for virtual concerts, teleconferences, and so on.
Deep learning-based 3D Reconstruction and Reverse Engineering
- We study automatic 3D CAD model reconstruction from the scanned data of industrial sites using an RGB-D camera.
Physics-based Simulation for Computer Graphics
Deformable Body Simulation
- Calculating the restoring forces determined in continuum mechanics, we mimic deformable bodies’ various motions such as deformation, collision, translation, and rotation.
Magnetic Object Simulation
- The forces exerted on magnetic objects are calculated using Maxwell’s equations to mimic the realistic motions of magnetic objects.
Deep Learning-based Physical Simulation
- We overcome the limitations of conventional physical simulation methods with deep neural networks.
Virtual Science Experiments
- We develop a simulation/rendering engine and an authoring tool specialized for science experiments in virtual worlds, and we conduct researches demonstrating the effectiveness of virtual science experiments.