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Probabilistic invariant image representation and associated distance measure

Autor
Scandaliaris, J.; Sanfeliu, A.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
21st International Conference on Pattern Recognition
Any de l'edició
2012
Data de presentació
2012
Llibre d'actes
Proceedings of the 21st International Conference on Pattern Recognition
Pàgina inicial
3569
Pàgina final
3572
Repositori
http://hdl.handle.net/2117/18325 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460936&tag=1 Obrir en finestra nova
Resum
Varying illumination is a limiting factor for many computer vision applications, especially in outdoor settings. Invariant image representations aim to reduce this effect and provide the following processing steps, image segmentation, edge detection, object recognition, etc., with a more stable view, closer to the surface reflectances presents in the scene than to the illumination. In this work we present an invariant image representation that integrates several key observations in a probabilist...
Citació
Scandaliaris, J.; Sanfeliu, A. Probabilistic invariant image representation and associated distance measure. A: International Conference on Pattern Recognition. "Proceedings of International Conference on Pattern Recognition". Tsukuba Science City: 2012, p. 3569-3572.
Paraules clau
color distance, pattern recognition Author keywords: color invariance
Grup de recerca
VIS - Visió Artificial i Sistemes Intel.ligents

Participants