In this laboratory, we focus on computer vision (CV) and computer graphics (CG) research as well as application to virtual and augmented reality systems (VR/AR). To contribute to those research areas, efficient acquisition, modeling and photo-realistic visualization techniques are the core. For example, we are working on 3D scene reconstruction using color and depth (RGB-D) cameras, called the RGB-D Simultaneous Localisation and Mapping (SLAM). Part of our research focus on the reconstruction of the dynamic human body using RGB-D cameras. In this project, we reconstruct 3D models from a single image using Convolutional Neural Networks (CNN). Another research project is light transport analysis based on computational photography, an imaging method that combines an optical system and a computer. By using the outcomes of those researches, development of medical imaging systems and intelligent transportation systems is also our important mission.
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The Main Research Topics
3D shape acquisition of ultra high speed moving objects
3D endoscopic systems
3D human body reconstruction from RGB-D cameras
MeRA: next generation Mediated Reality virtual assistant


























