Image Feature Matching Method of Ancient Buildings in Southern Fujian Based on Image Segmentation
Konferenz: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
25.03.2022 - 27.03.2022 in Wuhan, China
Tagungsband: CIBDA 2022
Seiten: 5Sprache: EnglischTyp: PDF
Autoren:
Zhou, Xiaoping; Liu, Yanmin (College of Architecture and Civil Engineering, Xiamen Institute of Technology, Xiamen, Fujian, China)
Lian, Xiaobo (Fine Art and Design College, Quanzhou Normal University, Quanzhou, China)
Guo, Huiting (School of Animation Design, Hoseo University, South Korea)
Lee, Sangyoung (TongMyong University, South District, Busan Metropolitan City, South Korea)
Inhalt:
With the development of virtual reality technology, image segmentation technology, especially 3D reconstruction technology, is more and more widely used. It can recover the 3D coordinates of spatial points from the data of a single or two images, and reconstruct the geometric information and accurate data of the 3D scene. Reliable matching of image features in 3D reconstruction of ancient architectural images is a key issue affecting the reconstruction effect. This paper firstly introduces the status quo of image feature matching methods for ancient buildings, uses image segmentation technology to study image feature matching methods for ancient buildings in southern Fujian, introduces image feature matching methods—image segmentation and mathematical morphology, and finally uses 3D reconstruction technology to analyze ancient buildings in southern Fujian. Architectural image feature matching to make images easier to understand and analyze.