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Robust 3D SFS reconstruction based on reliability maps

Author
Gallego, J.; Pardas, M.
Type of activity
Presentation of work at congresses
Name of edition
2014 IEEE International Conference on Image Processing
Date of publication
2014
Presentation's date
2014-10
Book of congress proceedings
2014 IEEE International Conference on Image Processing (ICIP) took place 27-30 October 2014 in Paris, France
First page
3307
Last page
3311
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICIP.2014.7025669 Open in new window
Repository
http://hdl.handle.net/2117/27730 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7025669&tag=1 Open in new window
Abstract
This paper deals with Shape from Silhouette (SfS) volumetric reconstruction in the context of multi-view smart room scenarios. The method that we propose first computes a 2D foreground object segmentation in each one of the views, by using region-based models to model the foreground, and shadow classes, and a pixel-wise model to model the background class. Next, we calculate the reliability maps between foreground and background/shadow classes in each view, by computing the hellinger distance am...
Citation
Gallego, J.; Pardas, M. Robust 3D SFS reconstruction based on reliability maps. A: IEEE International Conference on Image Processing. "2014 IEEE International Conference on Image Processing (ICIP) took place 27-30 October 2014 in Paris, France". París: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 3307-3311.
Keywords
Image colour analysis, Image reconstruction, Image representation, Image segmentation, Reliability, Stereo image processing
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants