For our next meeting, I will be talking about applications of loopy belief propagation in computer vision.
First, good tutorials on belief propagation (BP) can be found: here. In particular the tech. report.
I will then review 3 applications of BP that I have found:
“Recovering Shading and Reflectance from a Single Image”, M. Tappen, W.T. Freeman, E.H. Adelson, NIPS 2002. Paper here.
“Finding Deformable Shapes Using Loopy Belief Propagation”, J.M. Coughlan, S.J. Ferreira, ECCV 2002. Paper here.
“Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models”, N. Petrovic, I. Cohen, B. Frey, R. Koetter, T.S. Huang, CVPR 2001. Paper here.
I may not be able to go into much detail on all of these applications in one talk as I will be focusing more on reviewing the theory first. However, if there is enough interest, we can talk about these papers in more detail in another meeting.