Abstract
Abstract. This paper briefly presents two approaches for effective three-dimensional (3D) building model reconstruction from terrestrial laser scanning (TLS) data and single perspective view imagery and assesses their applicability to the reconstruction of 3D models of landmark or historical buildings. The collected LiDAR point clouds are registered based on conjugate points identified using a seven-parameter transformation system. Three dimensional models are generated using plan and surface fitting algorithms. The proposed single-view reconstruction (SVR) method is based on vanishing points and single-view metrology. More detailed models can also be generated according to semantic analysis of the façade images. Experimental results presented in this paper demonstrate that both TLS and SVR approaches can successfully produce accurate and detailed 3D building models from LiDAR point clouds or different types of single-view perspective images.
Highlights
Terrestrial laser scanning (TLS) or ground-based LiDAR (Light Detection And Ranging) and image-based measurement and reconstruction are two popular approaches for measuring and generating three-dimensional (3D) models of cultural heritage objects and sites
Among the algorithms based on vision metrology, single view reconstruction (SVR) can reconstruct the 3D model of the visible parts of an object from a single image according to the perspective metrology (Chang and Tsai, 2009; Criminisi et al, 2000; Wang et al, 2005)
Documentation and archiving of cultural heritage, especially for existing or historical landmark buildings. This study explored both the terrestrial laser scanning (TLS) and single-view reconstruction (SVR) approaches for the generation of detailed 3D models of landmark buildings
Summary
Terrestrial laser scanning (TLS) or ground-based LiDAR (Light Detection And Ranging) and image-based measurement and reconstruction are two popular approaches for measuring and generating three-dimensional (3D) models of cultural heritage objects and sites. Conventional photogrammetric or vision-based methods require multiple images of the target with different view angles to undertake the reconstruction of 3D models This sometimes can be time consuming and the data might be difficult to acquire, especially for historical artifacts and buildings. Among the algorithms based on vision metrology, single view reconstruction (SVR) can reconstruct the 3D model of the visible parts of an object from a single image according to the perspective metrology (Chang and Tsai, 2009; Criminisi et al, 2000; Wang et al, 2005) It has a great potential for applications related to the digital 3D documentation and archiving of cultural heritage, especially for existing or historical landmark buildings. The second is to establish effective and systematic procedures for applying the technologies to reconstruct 3D models of culture heritage objects
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