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3D reconstruction using spatial orthogonal constraints

An approach for the 3D reconstruction of architectural scenes from two uncalibrated images is described in this paper. From two views of one architectural structure, three pairs of corresponding vanishing points of three major mutual orthogonal directions can be extracted. The simple but powerful constraints of parallelism and orthogonally in architectural scenes can be used to calibrate the cameras and to recover the projection matrices for each viewpoint. The projection matrices are used to reconstruct a partial 3D model of an architectural scene from two uncalibrated photographs taken from arbitrary viewpoints. The approach is applied to the real images of architectural scenes, and a 3D model of a building in VRML format is presented which illustrates the method with successful performance. It is applied to recover 3D models using the hand held digital cameras that the camera motion can't be controlled.