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From local occlusion cues to global monocular depth estimation

Autor
Palou, G.; Salembier, P.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
Any de l'edició
2012
Data de presentació
2012-03-14
Llibre d'actes
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing: March 25–30, 2012, Kyoto, Japan
Pàgina inicial
793
Pàgina final
796
Editor
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICASSP.2012.6288003 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/18317 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6288003 Obrir en finestra nova
Resum
In this paper, we propose a system to obtain a depth ordered seg- mentation of a single image based on low level cues. The algorithm first constructs a hierarchical, region-based image representation of the image using a Binary Partition Tree (BPT). During the building process, T-junction depth cues are detected, along with high convex boundaries. When the BPT is built, a suitable segmentation is found and a global depth ordering is found using a probabilistic framework. Results are compared wit...
Citació
Palou, G.; Salembier, P. From local occlusion cues to global monocular depth estimation. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing: March 25–30, 2012, Kyoto, Japan". Kyoto: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 793-796.
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants