Obtaining shape from shading information

By Berthold K. P. Horn. 1989

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Citations in the corpus

Real-time shading-based refinement for consumer depth cameras (2014, methodology): “Shape-from-Shading and Photometric Stereo A related topic acquires the 3D shape of an object using shape-from-shading (SfS) where the naturally occurring intensity patterns across an image are used to extract the 3D geometry from a single image [Horn 1975; Zhang et al. 1999].”
Numerical methods for shape-from-shading: A new survey with benchmarks (2008, methodology): “…that the resolution proposed by Rind(cid:13)eisch in a particular case could be generalized, while still using the characteristic strips expansion [30], under the following two conditions: (i) the function u has to be of class C 2 ; (ii) the 5-uplet ( x; y; u; p; q ) has to be known at every…”
Ieee Transactions on Pattern Analysis and Machine Intelligence Shape, Illumination, and Reflectance from Shading (unknown): “The shape-from-shading problem was first formulated in the computer vision community by Horn in 1975 [21], though the problem existed in other fields as that of " photoclinometry " [22].”
State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications (2018, methodology): “To be able to also recover small surface detail, shape-from-shading techniques can be applied for face reconstruction [Hor75,ZTCS99, WWMT11, WZN ∗ 14, GVWT13, SSS14, SWTC14] (see Fig.”
Shape From Shading (2006, unknown): “In particular, the initial equal-height contours method of Bruckstein [7] is a variant of the method of the characteristic strips of Horn [18].”
Example Based 3D Reconstruction from Single 2D Images (2006, background): “Methods for single image reconstruction commonly use cues such as shading, silhouette shapes, texture, and vanishing points [5, 6, 12, 16, 28].”
Shading-based refinement on volumetric signed distance functions (2015, background): “Shape-from-shading (SfS) is able to overcome some of these resolution limits, and also succeeds on texture-less objects [Horn 1975; Zhang et al. 1999].”
The Representation, Recognition, and Locating of 3-D Objects (1986, background): “, Marr and Poggio (1979); Grimson ( 1981 ); Baker and Binford (1982); Nishihara ( 1983); and Ohta and Kanade ( 1983).”
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (2019, background): “Second, shading provides an additional cue on the underlying 3D shape [23, 3].”