Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision

Abstract : 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.