Abstract
We present “shape from interaction” (SfI), an approach to the problem of acquiring 3D representations of rigid objects through observing the activity of a human who handles a tool. SfI relies on the fact that two rigid objects cannot share the same physical space. The 3D reconstruction of the unknown object is achieved by tracking the known 3D tool and by carving out the space it occupies as a function of time. Due to this indirection, SfI reconstructs rigid objects regardless of their material and appearance properties and proves particularly useful for the cases of textureless, transparent, translucent, refractive and specular objects for which there exists no practical vision-based 3D reconstruction method. Additionally, object concavities that are not directly observable can also be reconstructed. The 3D tracking of the tool is formulated as an optimization problem that is solved based on visual input acquired by a multicamera system. Experimental results from a prototype implementation of SfI support qualitatively and quantitatively the effectiveness of the proposed approach.
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This work was partially supported by the EU IST-FP7-IP-288533 project RoboHow.Cog.
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Michel, D., Zabulis, X. & Argyros, A.A. Shape from interaction. Machine Vision and Applications 25, 1077–1087 (2014). https://doi.org/10.1007/s00138-014-0602-9
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DOI: https://doi.org/10.1007/s00138-014-0602-9