| Título: | Architectural Scene Reconstruction from Single or Multiple Uncalibrated Images |
| Autores: |
Lin, Huei-Yung Chen, Syuan-Liang Lin, Jen-Hung |
| Fecha: | 1970-01-01 |
| Publicador: | Elcvia: electronics letters on computer vision and image analysis |
| Fuente: |
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| Tipo: | |
| Tema: | 3D Model Reconstruction; Range Image; Range Data Registration |
| Descripción: | In this paper we present a system for the reconstruction of 3D models of architectural scenes from single or multiple uncalibrated images. The partial 3D model of a building is recovered from a single image using geometric constraints such as parallelism and orthogonality, which are likely to be found in most architectural scenes. The approximate corner positions of a building are selected interactively by a user and then further refined automatically using Hough transform. The relative depths of the corner points are calculated according to the perspective projection model. Partial 3D models recovered from different viewpoints are registered to a common coordinate system for integration. The 3D model registration process is carried out using modified ICP (iterative closest point) algorithm with the initial parameters provided by geometric constraints of the building. The integrated 3D model is then fitted with piecewise planar surfaces to generate a more geometrically consistent model. The acquired images are finally mapped onto the surface of the reconstructed 3D model to create a photo-realistic model. A working system which allows a user to interactively build a 3D model of an architectural scene from single or multiple images has been proposed and implemented.keywords: 3D Model Reconstruction, Range Image, Range Data Registration |
| Idioma: | No aplica |