Loading...
Loading...

Go to the content (press return)

Multiview foreground segmentation using 3D probabilistic model

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
3317
Last page
3321
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICIP.2014.7025671 Open in new window
Repository
http://hdl.handle.net/2117/27732 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7025671&searchWithin%3Dgallego%26filter%3DAND%28p_IS_Number%3A7024995%29 Open in new window
Abstract
We propose a complete multi-view foreground segmentation and 3D reconstruction system that defines a 3-dimensional probabilistic model to model the foreground object in the 3 spatial dimensions, thus gathering the information from all the camera views. This 3D model is projected to each one of the views in order to perform the 2D segmentation with the foreground information shared by all the cameras. Then, for each one of the views, a MAP-MRF classification framework is applied between the proje...
Citation
Gallego , J.; Pardas, M. Multiview foreground segmentation using 3D probabilistic model. 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. 3317-3321.
Keywords
Image classification, Image segmentation, Maximum likelihood estimation, Solid modelling
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants