Abstract
This paper presents a 3-D reconstruction method IBM(image based modeling) of an image that does not contain any camera information. This system adopts a 3D reconstruction method based on a model. Model-based 3D reconstruction recovers an image using the geometric characteristics of a pre-defined polyhedron model. It uses a pre-defined polyhedron model as the primitive and the 3D reconstruction is processed by mapping the correspondence point of the primitive model onto the picture image. Existing model-based 3D reconstruction methods were used for the reconstruction of camera parameters or error method through iteration. However, we proposed a method for a primitive model that uses the segment and the center of the segment for the reconstruction process. This method enables the reconstruction of the primitive model to be processed using the minimum camera parameters (e.g. focal length) during the segment reconstruction process.
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© 2003 Springer-Verlag Berlin Heidelberg
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Cho, SD., Ryoo, ST., Choi, TH., Yoon, KH. (2003). 3D Primitive Reconstruction Using the Line Segment with Single Image. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44842-X_55
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DOI: https://doi.org/10.1007/3-540-44842-X_55
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