Real-time shading-based refinement for consumer depth cameras
By Shahram Izadi. 2014
136 citations recorded by the source corpus.
Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Graphics and Computer-Aided Design
- Matthias Nießner
- Christian Theobalt
- Michael Zollhöfer
- Justus Thies
- Matthias Innmann
- Marc Stamminger
- Kiran Varanasi
- Derek Bradley
In Computer Vision and Pattern Recognition
- Christian Theobalt
- Matthias Nießner
- Michael Zollhöfer
- Justus Thies
- Michael J. Black
- Luc Van Gool
- Patrick Pérez
- Andrew Zisserman
Citations in the corpus
- Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis (2016, neutral): “Another possible avenue is the incorporation of RGB information; for instance, one could enforce shading constraints to obtain fine-scale detail by borrowing ideas from recent shape-from-shading methods [43, 48].”
- VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction (2016, methodology): “We solve the linear system of equations using a data-parallel preconditioned conjugate gradient (PCG) solver, similar to [51, 10, 52, 53], which we run on the GPU.”
- Reconstruction of Personalized 3D Face Rigs from Monocular Video (2016, methodology): “by harnessing the data parallel processing power of modern GPUs, as recently demonstrated for non-linear optimization [Thies et al. 2015; Wu et al. 2014; Zollhöfer et al. 2014].”
- 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.”