2012
DOI: 10.1007/3dres.02(2012)1
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3D reconstruction of polyhedral objects from single perspective projections using cubic corner

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Cited by 10 publications
(3 citation statements)
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References 26 publications
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“…Practical solutions often aim to augment an artist by giving them more control over depth while sketching [Grimm and Joshi 2012] or the ability to create other 3D properties from a 2D viewport [Yotam Gingold and Zorin 2009]. Other avenues of research match templated patterns [Yang 2006] or use photos [Fang and Lee 2012] [Liu and Huang 2000] as a starting point. A large number of papers cover reconstruction of geometric shapes such as those found in technical drawings, requiring shapes with clearly defined planes and polygonal shapes [Suh 2006] [Fang and Lee 2012] [Naya et al 2003].…”
Section: Previous Workmentioning
confidence: 99%
“…Practical solutions often aim to augment an artist by giving them more control over depth while sketching [Grimm and Joshi 2012] or the ability to create other 3D properties from a 2D viewport [Yotam Gingold and Zorin 2009]. Other avenues of research match templated patterns [Yang 2006] or use photos [Fang and Lee 2012] [Liu and Huang 2000] as a starting point. A large number of papers cover reconstruction of geometric shapes such as those found in technical drawings, requiring shapes with clearly defined planes and polygonal shapes [Suh 2006] [Fang and Lee 2012] [Naya et al 2003].…”
Section: Previous Workmentioning
confidence: 99%
“…For instance, in [ 27 ], objects are modeled using simple geometric primitives and the projections are linked with dual space geometry. Other examples of simple geometric primitives used in the literature include polyhedral models [ 28 ] and spheroid models [ 12 ].…”
Section: Related Workmentioning
confidence: 99%
“…Following the stroke patterns displayed in Table 3 [93,94] or vanishing points [95], and geometric assumptions as summarized in [73] are commonly required for recovering the perspective distortion. However, there is no such feature or assumption that can be applied to every image.…”
Section: Truncated Square Pyramidsmentioning
confidence: 99%