Abstract
3D object reconstruction from single images has extensive applications in multimedia. Most of existing related methods only recover rough 3D objects and the objects are often required to be interconnected. In this paper, we propose a novel method which uses a set of auxiliary reference grids to precisely reconstruct 3D objects from a single uncalibrated image. In our system, the user first draws the line drawings of the objects. Then, the initial focal length f of the camera is computed with a calibration method, and then the initial focal length is refined by a reference grid. With the refined f, a 3D position measurement environment is constructed, and a world coordinate system is defined by the user. After that, a set of reference grids are used to find the precise 3D locations of the object points and the wireframes of the objects are recovered automatically. Finally, the system generates the surfaces and renders the complete 3D objects. Besides the precise 3D modeling, our reconstruction method does not require the objects in a scene are interconnected. A set of examples are provided to demonstrate the ability of handling complex polyhedral objects and curved surfaces within one framework.
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Zou, C., Liu, J., Liu, J. (2013). Precise 3D Reconstruction from a Single Image. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds) Computer Vision – ACCV 2012. ACCV 2012. Lecture Notes in Computer Science, vol 7727. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37447-0_21
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DOI: https://doi.org/10.1007/978-3-642-37447-0_21
Publisher Name: Springer, Berlin, Heidelberg
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