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Depth ordering on image sequences using motion occlusions

Author
Palou, G.; Salembier, P.
Type of activity
Presentation of work at congresses
Name of edition
19th IEEE International Conference on Image Processing
Date of publication
2012
Presentation's date
2012-10-01
Book of congress proceedings
Proceedings ICIP'2012: IEEE International Conference on Image Proceesing: September 30-October 3, 2012, Lake Buena Vista, Florida, USA
First page
1217
Last page
1220
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICIP.2012.6467085 Open in new window
Repository
http://hdl.handle.net/2117/18356 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6467085 Open in new window
Abstract
This paper proposes a system to obtain the depth order of frames in image sequences using motion occlusion cues. The system first computes the forward and backward flows with the previous and next frames and estimates the occluded points. To obtain a region representation of the image, a Binary Partition Tree (BPT) is created for each frame. To estimate occlusion relations in the image, projective flow models are fitted to all regions in the image. The depth order solution is obtained by minimiz...
Citation
Palou, G.; Salembier, P. Depth ordering on image sequences using motion occlusions. A: IEEE International Conference on Image Processing. "Proceedings ICIP'2012: IEEE International Conference on Image Proceesing: September 30-October 3, 2012, Lake Buena Vista, Florida, USA". Olrando, Florida: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 1217-1220.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants