Kyung-Eun Cho

Intuitive NUI for Controlling Virtual Objects Based on Hand Movements

Natural user interfaces (NUIs) have attracted considerable research attention, and they are increasingly being applied in various fields. NUIs afford more intuitive user inputs than existing UIs. This study proposes an approach to recognize arm motions for intuitive control of an object in a virtual environment. Kinect is used for virtual object control system. For an experimental test, a virtual room is created and the Smart Interior NUI is implemented for arranging furniture.

Real-Time Intuitive Terrain Modeling by Mapping Video Images onto a Texture Database

Mobile robot operators must make rapid decisions based on information about the robot’s surrounding environment. Thus, it is essential that they receive information regarding the local terrain in real time. This paper describes an intuitive terrain modeling method and a generation algorithm for a texture database (TDB). Firstly, we integrate the large-scale 3D point clouds obtained from sensors into a node-based terrain mesh in CPU. Subsequently, we program a graphics processing unit to generate the TDB by mapping the triangles in the terrain mesh onto the captured video images.