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Image-Based 3D Modeling via Cheeger Sets

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Book cover Computer Vision – ACCV 2010 (ACCV 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6492))

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Abstract

We propose a novel variational formulation for generating 3D models of objects from a single view. Based on a few user scribbles in an image, the algorithm automatically extracts the object silhouette and subsequently determines a 3D volume by minimizing the weighted surface area for a fixed user-specified volume. The respective energy can be efficiently minimized by means of convex relaxation techniques, leading to visually pleasing smooth surfaces within a matter of seconds. In contrast to existing techniques for single-view reconstruction, the proposed method is based on an implicit surface representation and a transparent optimality criterion, assuring high-quality 3D models of arbitrary topology with a minimum of user input.

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© 2011 Springer-Verlag Berlin Heidelberg

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Töppe, E., Oswald, M.R., Cremers, D., Rother, C. (2011). Image-Based 3D Modeling via Cheeger Sets. In: Kimmel, R., Klette, R., Sugimoto, A. (eds) Computer Vision – ACCV 2010. ACCV 2010. Lecture Notes in Computer Science, vol 6492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19315-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-19315-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19314-9

  • Online ISBN: 978-3-642-19315-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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