KEYWORDS: Cameras, Reconstruction algorithms, Image restoration, 3D modeling, 3D image processing, Calibration, Stereolithography, 3D image reconstruction, Visualization, 3D acquisition
A new approach to recover 3D structure from the uncalibrated image sequence is presented. Unlike previous methods,
the method recovers 3D models' initial values by enforcing the geometric constraints of the straight line in the scene and
then gets accurate results by bundle adjustment. The focal length and the principal point of each camera are supposed to
be unknown intrinsic parameters. The similarity invariance of the straight line that vertical straight line pairs in the scene
keep vertical in similarity transformation are taken account of as a geometric constraint. A projective reconstruction
performed by an iterative factorization algorithm is upgraded to a Euclidean one with the constraint. Bundle adjustment
refines a visual reconstruction to produce jointly optimal structure and viewing parameter estimates when we get the
ideal initial values from the method above. Experiments results on synthetic and real image sequences verified the new
approach's precise and efficiency.
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