Research on three-dimensional positioning method of big data image under bag of words model guidance
Chunsen Zhang, Xiqi Wang, Zhenguo Qiu, Zhu Shihuan, Xiaolei Xu, Sidong Zhong · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
In order to retrieve the positioning image efficiently and quickly from a large number of different images to realize the three-dimensional spatial positioning, in this article, based on photogrammetry and computer vision theory, a new method of three-dimensional positioning of big data image under the bag of words model guidance is proposed. The method consists of two parts: image retrieving and spatial positioning. First, complete image retrieval by feature extraction, K-means clustering, bag of words model building and other processes, thus improve the efficiency of image matching. Second, achieve interior and exterior orientation element through image matching, building projection relationship and calculating the projection matrix, and then the spatial orientation is realized. The experimental result showed that the proposed method can retrieve the target image efficiently and achieve spatial orientation accurately, which made a beneficial exploration for achieving space positioning based on big data images.