Shape From Shading

By Emmanuel Prados, Olivier D. Faugeras. 2006

556 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

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In Computational Mechanics

In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

Citations in the corpus

Learning to Reconstruct Shapes from Unseen Classes (2018, background): “Through years, researchers have explored recovering 2.5D sketches from texture, shading, or color images [Barron and Malik, 2015, Bell et al., 2014, Horn and Brooks, 1989, Tappen et al., 2003, Weiss, 2001, Zhang et al., 1999].”
Learning Shape Priors for Single-View 3D Completion and Reconstruction (2018, background): “In the past, researchers have explored recovering 2.5D sketches from shading, texture, or color images [2,3,20,47,55,63].”
MarrNet: 3D Shape Reconstruction via 2.5D Sketches (2017, background): “In the past, researchers have explored recovering 2.5D shape from shading, texture, or color images [Horn and Brooks, 1989, Zhang et al., 1999, Tappen et al., 2003, Barron and Malik, 2015, Weiss, 2001, Bell et al., 2014].”
Hamilton-Jacobi Skeletons (2002, unknown): “It has also been used for applications in image processing and analysis (Sethian, 1996a; Caselles et al., 1998), shape-fromshading (Horn and Brooks, 1989; Rouy and Tourin, 1992; Oliensis and Dupuis, 1994; Kimmel et al., 1995b) and stereo (Faugeras and Keriven, 1998).”
Neural Inverse Rendering of an Indoor Scene From a Single Image (2019, background): “A variety of subproblems have been studied, such as intrinsic image decomposition [39], shape from shading [30, 29], and BRDF estimation [24].”
3D Reconstruction by Shadow Carving: Theory and Practical Evaluation (2007, unknown): “Eventually, the improved estimate of shape can be further refined by methods that work well locally, such as photometric stereo (Horn and Brooks, 1989).”
Path Planning for Autonomous Underwater Vehicles (2007, unknown): “It is inspired by a level set formulation of the Eikonal equation in [24]; nonetheless, a formal proof can be found in [25].”
Shedding light on stereoscopic segmentation (2004, methodology): “Using variational methods in shape from shading dates back to the eighties [10] [19], and even level set methods have been employed before [13] [15].”
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding (2018, background): “Traditionally, estimating depth from a single view depends on hand-crafted features with specific and strong assumptions, such as computing vanishing point [33], using assumptions of BRDF [34], [35], or extracting the scene layout with major plane and box representations with Manhattan world [36], [”
Vision by alignment (2018, methodology): “A method developed by Horn (Horn and Brooks [1989]) derives surface normals of a depicted object in a single monochromatic image.”
SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild' (2017, background): “sion and has been studied in various forms such as intrinsic image decomposition [32] and Shape from Shading (SfS) [22, 21].”
Ieee Transactions on Pattern Analysis and Machine Intelligence Shape, Illumination, and Reflectance from Shading (unknown): “The history of SFS is well surveyed in [23], [24].”
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (2019, methodology): “Shape from shading [24, 65] assumes a shading model such as Lambertian reflectance, and reconstructs the surface by exploiting the non-uniform illumination.”
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image (2019, background): “It has been studied under different forms, such as intrinsic images (reflectance and shading from an image) [6] and shape-from-shading (shape, and sometimes reflectance, from an image) [22].”
Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor (2012, unknown): “Depth approximation Our approach adapts work on shape-from-shading (SFS) (see overview in [31]).”
Sketch-based modeling: A survey (2009, unknown): “shape from shading in single images [141,142], and using other important curves [40,56,89], more elaborate research is still needed and it remains an open and challenging area in SBIM.”
3D Computational Imaging with Single-Pixel Detectors (2013, unknown): “scribed as polysomatic series in terms of layers include heterogeneous structural series of intermetallics (17); light-element networks, such as the aluminum carbonitrides (18) (Fig.”
Ieee Transactions on Pattern Analysis and Machine Intelligence 1 3d Face Reconstruction from a Single Image Using a Single Reference Face Shape (unknown): “Specifically, we cast the problem as an image irradiance equation [15] with unknown lighting, albedo, and surface normals.”
Modeling the space of camera response functions (2004, unknown): “…[10], [19], construction of linear high-dynamic range images [3], [21], [26], [6], [22], photometric stereo [2], [28], [31], shape from shading [17], [28], [33], estimation of reflectance and illumination from shape and intensity [20], recovery of BRDF from images [4], [7], [25], [29], [32],…”