Numerical methods for shape-from-shading: A new survey with benchmarks
By Jean-Denis Durou, Maurizio Falcone, Manuela Sagona. Computer Vision and Image Understanding, 2008
346 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/31156088f44113ff9bd23ab31eec57c84b7efe9e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Zhuwen Li
- Stephan R. Richter
- Vladlen Koltun
- René Ranftl
- Maxim Tatarchenko
- Yinda Zhang
- Yanwei Fu
- Thomas Brox
In Computer Graphics and Computer-Aided Design
- Stephan R. Richter
- Zhuwen Li
- Vladlen Koltun
- Yinda Zhang
- Maxim Tatarchenko
- Yanwei Fu
- René Ranftl
- Chao Wen
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Jitendra Malik
- Vladlen Koltun
- Dacheng Tao
- Ming-Hsuan Yang
- Trevor Darrell
- Andrea Vedaldi
- Xiaogang Wang
Citations in the corpus
- 3D-FUTURE: 3D Furniture Shape with TextURE (2020, neutral): “In the supervised setting, traditional methods investigated shape from shading (Durou et al., 2008; Zhang et al., 1999) and defoce (Favaro and Soatto, 2005) to reason the visible parts of objects.”
- Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation (2019, background): “Single view shape generation Classic single view shape reasoning can be traced back to shape from shading [8, 51], texture [27], and de-focus [10], which only reason the visible parts of objects.”
- What Do Single-View 3D Reconstruction Networks Learn? (2019, background): “Historically, single-image 3D reconstruction has been approached via shape-from-shading [6, 16, 57].”