Shading-Based Shape Refinement of RGB-D Images
- 1 June 2013
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2013 IEEE Conference on Computer Vision and Pattern Recognition
- p. 1415-1422
- https://doi.org/10.1109/cvpr.2013.186
Abstract
We present a shading-based shape refinement algorithm which uses a noisy, incomplete depth map from Kinect to help resolve ambiguities in shape-from-shading. In our framework, the partial depth information is used to overcome bas-relief ambiguity in normals estimation, as well as to assist in recovering relative albedos, which are needed to reliably estimate the lighting environment and to separate shading from albedo. This refinement of surface normals using a noisy depth map leads to high-quality 3D surfaces. The effectiveness of our algorithm is demonstrated through several challenging real-world examples.Keywords
This publication has 16 references indexed in Scilit:
- Outdoor photometric stereoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- High quality depth map upsampling for 3D-TOF camerasPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- High-quality shape from multi-view stereo and shading under general illuminationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Upsampling range data in dynamic environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Image completion with structure propagationACM Transactions on Graphics, 2005
- Poisson image editingACM Transactions on Graphics, 2003
- An efficient representation for irradiance environment mapsPublished by Association for Computing Machinery (ACM) ,2001
- Shape-from-shading: a surveyIEEE Transactions on Pattern Analysis and Machine Intelligence, 1999
- Reflectance based object recognitionInternational Journal of Computer Vision, 1996
- Photometric Method For Determining Surface Orientation From Multiple ImagesOptical Engineering, 1980