The papers in this special section address the programs and services supported by graphical models in computer vision. This section explores the main challenges in this framework---modeling novel priors, learning, inference---and presents innovative solutions. The papers cover the aspects of modeling novel priors, inference algorithms and parameter learning methods in the context of higher order graphical models.