Quality Analysis for Positioning Using Realistic Image-based 3d Maps

3D mapping has been used in multi-discipline applications. The traditional 3D mapping method needs specially trained people and expensive equipment to collect data and process data. Over recent years, as the rapid development of sensor technologies, computer vision and photogrammetry, the vision-based method to detailing works was brought to fill the gap and improve the efficiency of 3D mapping. The measureable realistic image-based (MRI) 3D maps can be employed with affordable cost and acceptable quality for industrial activities and business. In this paper, the quality analysis of point positioning with the MRI maps using least squares estimation is described. This paper also presents some initial results of point position measuring experiments conducted to test the quality of such an approach.