Discrete Visual Perception - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

Discrete Visual Perception

Résumé

Computational vision and biomedical image have made tremendous progress of the past decade. This is mostly due the development of efficient learning and inference algorithms which allow better, faster and richer modeling of visual perception tasks. Graph-based representations are among the most prominent tools to address such perception through the casting of perception as a graph optimization problem. In this paper, we briefly introduce the interest of such representations, discuss their strength and limitations and present their application to address a variety of problems in computer vision and biomedical image analysis.
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Dates et versions

hal-01023406 , version 1 (16-07-2014)

Identifiants

Citer

Nikos Paragios, Nikos Komodakis. Discrete Visual Perception. International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. pp.1-7, ⟨10.1109/icpr.2014.13⟩. ⟨hal-01023406⟩
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