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Shape from Silhouette

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Computer Vision

Synonyms

Shape from outlines of projection; Visual hull

Related Concepts

Visual Hull

Definition

Shape from silhouette (SfS) algorithms compute the (approximate) 3D shape of an object from multiple 2D projections considering only the outline of the object in the projections. The most important class of SfS methods are Visual Hull algorithms.

Background

The problem of computing shape from outlines (silhouettes) of projections is generally underconstrained. Depending on the object's geometry and the number of available views, approximations can be computed which are sufficient for some applications. Often, the SfS output serves as initialization for appearance-based shape reconstruction methods such as volumetric reconstruction or multiview stereo.

The most general class of SfS approaches, where no assumptions about the type of objects to reconstruct are made, are the Visual Hull algorithms (e.g., [1–4]). These are treated in a dedicated article.

If the class of objects to handle is...

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References

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  2. Ahuja N, Veenstra J (1989) Generating octrees from object silhouettes in orthographic views. IEEE Trans Pattern Anal Mach Intell 11(2):137–149

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  3. Laurentini A (1991) The visual hull: a new tool for contour-based image understanding. In: Proceedings of the 7th Scandinavian conference on image analysis. Pattern Recognition Society of Denmark, Aalborg East

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  4. Szeliski R (1993) Rapid octree construction from image sequences. CVGIP 58:23–32

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  5. Balan AO, Sigal L, Black MJ, Davis JE, Haussecker HW (2007) Detailed human shape and pose from images. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR '07). IEEE, Piscataway, Minneapolis, Minnesota, pp 1–8

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  6. Guan P, Weiss A, Balan AO, Black MJ (2009) Estimating human shape and pose from a single image. In: Proceedings of the IEEE 12th International Conference on Computer Vision (ICCV), Kyoto, Japan, pp 1381–1388

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  7. Schneider DC, Eisert P (2009) Fast nonrigid mesh registration with a data-driven deformation prior. In: Proceedings of the IEEE 12th international computer vision workshops, Kyoto, Japan, pp 304–311

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© 2014 Springer Science+Business Media New York

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Schneider, D.C. (2014). Shape from Silhouette. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_206

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