Open AccessArchitectural Scene Reconstruction from Single or Multiple Uncalibrated Images
Author(s) -
Huei-Yung Lin,
Syuan-Liang Chen,
JaChen Lin
Publication year - 2006
Publication title -
elcvia. electronic letters on computer vision and image analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.15
H-Index - 11
ISSN - 1577-5097
DOI - 10.5565/rev/elcvia.119
Subject(s) - computer vision , computer science , orthogonality , artificial intelligence , piecewise , projection (relational algebra) , computer graphics (images) , coordinate system , 3d reconstruction , process (computing) , iterative closest point , perspective (graphical) , geometric modeling , hough transform , image (mathematics) , algorithm , mathematics , geometry , point cloud , mathematical analysis , operating system
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