RESEARCH AND DEVELOPMENT OF AUTOMATIC COLORING TECHNOLOGY FOR POINT CLOUD DATA USING GAN

Abstract

 The Ministry of Land, Infrastructure, Transport and Tourism is promoting “i-Construction” to improve the productivity of construction sites by utilizing 3D information. Most of the 3D information showing the current topography measured by the laser scanner is stored as point cloud data. The point cloud data generally holds only 3D coordinate values and reflection intensity, but RGB values can be added by using camera images, and it is widely used due to a high visibility of features. However, there are some issues that require labor to select camera images corresponding to each point, and that cannot be colored by the equipment without a camera. Therefore, in this research, we develop an automatic coloring technology using GAN for point cloud data that does not require a camera image.