* Intro, guidelines, databases, projects
  What are the hard problems? 

* Physiology of vision

* Perception
  low-level, mid-level, high-level vision
  mid-level: Gestalt Grouping cues
  high-level: top-down processing, data-driven
Cavanagh + Weinheimer

* Low-level vision (texture)
Olshausen & field
Plenoptic Function (adelson)
Martin & Fowlkes boundry detector
Puzicha et al (Color/texture similarity metics)
Oliva & Torralba (statistics of scenes and/or Epatial envelope)
Walker & Malik (texture for scene discrimination)
Bag of words for objects (Winn et al, Curska et al, etc)

* Statistics of Natural Images
Plenoptic function (adelson)
learning gabors + NMF
Torralba, statistics of scenes
Laura Walker, texture for scene discrimination

* Dealing with Texture
Pb
Puzicha
bag of words?


* Correspondences
Distance Transform, Schanfer dist
Shape Context, Geometric Blur
Berg
Marius



* Intrinsic images + Marr (?)
Retinex
Adelson, theatre workshop
Sinha, Adelson: World of painted polyhedra
Finlayson
Weiss
Freeman intrinsic
Oliva&Torralba
Hoiem
MRF (?) + Andrew Ng (3D)
Zhu et al, Image Parsing



Learning Image Features
Stauffer & Grimson
ICA
NMF


* Dealing with data
Isomap
LLE
Style vs. Content
AAM (Cootes & Taylor) + Blinz & Vetter
NMF


* Segmentation
NCut + Weiss + Weiss, Ng + Meila (random walk)
Mean-shift
DD-MCMC
GraphCuts

* Recognition 
boosting
Schniderman & Kanade 
Viola & Jones
Vidal-Naquet, Ullman (2003)
Torralba, Sharing Features

* Segmentation + Recognition
Larry Zitnik's superpixels
Ulman's horses
xren's horses
ObjCut
Schiele

* Tracking
Toyama & Blake
Particle Filtering ?
Condensation (Isard & Blake)
Ramanan, Strike a Pose
Torr, ICCV '05

* image + words
Kobus Barnard
Berg & Berg (Names and Faces)

* Object Category Discovery
LSA, pLSA, LDA
FeiFei
Josef
Fergus