Shading-based refinement on volumetric signed distance functions
Work
Year: 2015
Type: article
Abstract: We present a novel method to obtain fine-scale detail in 3D reconstructions generated with low-budget RGB-D cameras or other commodity scanning devices. As the depth data of these sensors is noisy, tr... more
Source: ACM Transactions on Graphics
Institutions Max Planck Institute for Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Stanford University, ETH Zurich
Cites: 64
Cited by: 121
Related to: 10
FWCI: 10.09
Citation percentile (by year/subfield): 95.46
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: green