Calibration Method of Feature Point Layout in Prefabricated Buildings Based on Image Recognition Technology

Abstract

Compared with other types of buildings, it is more difficult and demanding to calibrate the image layout of irregular prefabricated buildings. How to effectively extract the layout calibration feature information of the prefabricated buildings and how to ensure the accuracy of the calibration method have become the main problems to be solved in the field of image recognition. Therefore, this paper studied the calibration method of feature point layout of prefabricated buildings based on image recognition technology. Based on the task of extracting feature points in the above prefabricated building images, this paper proposed a new feature extraction network suitable for these feature points, and described its principle in detail. With the help of deep learning technology, this paper enhanced the feature description of prefabricated building image blocks based on feature point location information, and introduced in detail the constructed algorithm model of feature point extraction and description. The experimental results verified the feature point extraction model was effective in calibrating the feature point layout of the prefabricated buildings.