We propose a novel, practical solution for high qual- ity reconstruction of axially-symmetric transparent objects. While a special case, such transparent objects are ubiq- uitous in the real world. Common examples of these are glasses, tumblers, goblets, carafes, etc., that can have very unique and visually appealing forms making their recon- struction interesting for vision and graphics applications. Our acquisition setup involves imaging such objects from a single viewpoint while illuminating them from directly behind with a few patterns emitted from an LCD panel. Our reconstruction step is then based on optimization of the object’s geometry and its refractive index to minimize the difference between observed and simulated transmis- sion/refraction of rays passing through the object. We ex- ploit the object’s axial symmetry as a strong shape prior which allows us to achieve robust reconstruction from a sin- gle viewpoint using a simple, commodity acquisition setup. We demonstrate high quality reconstruction of several com- mon rotationally symmetric as well as more complex n-fold symmetric transparent objects with our approach.
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