This paper highlights on the analysis of several data collection pipeline for big interior using Structure sensor. Data of big, large interior, collected by 3D sensors such as Structure sensor is very crucial and important as it could be used to develop 3D as-built model, where the model can be utilized for various purposes like maintenance, management as well as renovation work. However, collecting data of big interiors can be challenging as the outcome of the 3D model can be less accurate due to dimensions of the big interior which surpasses the range of the sensor. Thus, there is a need to have a proper planning when collecting 3D data representing big interior, especially rooms with clutter and occlusion due to furniture and equipment. This project concentrates on developing and testing suitable pipeline in collecting data representing big interior using Structure sensor. Three different methods were proposed, tested and analysed, where the interior is modelled using MeshLab. Results show that Method Two, which is wall by wall approach, is the most suitable among the other pipeline proposed. Thus, this method can be utilized by professionals and experts when using 3D sensors like Structure sensor in collecting big, large interior data.
