SIMPLE ROOM SHAPE MODELING WITH SPARSE 3D POINT INFORMATION USING PHOTOGRAMMETRY AND APPLICATION SOFTWARE
In this paper, we propose an automated technique for creating a simplified 3D structure shape model of indoor environments from the sparse 3D point information provided by the photogrammetric method. Multiple coded-targets are used for the automatic detection, recognition and measurement of 3D coordinates of points on the room walls from the acquired stereo images. The sparse 3D information is then processed by our software for the estimation of a simplified 3D structure shape model of the room. Additionally, the 3D model is also translated into a development figure which represents multiple orthographic projections of the room. The proposed method is implemented into a flawless procedure which allows to obtain, by a few operations, a simplified 3D structure shape model of a room and its orthographic representation in drawing sheets. The developed application software can be used for the determination of the shape of rooms easily also by persons without experience in 3D measurement techniques.