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

Karteek Alahari (1) , Dhruv Batra (2) , Srikumar Ramalingam (3) , Nikos Paragios (4, 5) , Richard Zemel (6)

1 VGG - Visual Geometry Group
2 Virginia Polytechnic Institute and State University [Blacksburg]
3 MERL - Mitsubishi Electric Research Laboratories
4 CVN - Centre de vision numérique
5 GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content
6 University of Toronto

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.

Mots clés: Special issue and sections; Computer vision; Graphical models; Markov processes

Domaines: Sciences de l'ingénieur [physics]

Karteek Alahari, Dhruv Batra, Srikumar Ramalingam, Nikos Paragios, Richard Zemel. Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37 (7), pp.1321-1322. ⟨10.1109/TPAMI.2015.2434651⟩. ⟨hal-02423501⟩