Resource
Tutorials of some topics:
ICCV 2015 Tutorial:
on Modelling human bodies,
http://bodymodelling2015.is.tuebingen.mpg.de/resources
on Math of Deep Learning:
http://www.vision.jhu.edu/tutorials/ICCV15-Tutorial-Math-Deep-Learning.htm
ICCV 2013 Tutorial: on Part-based Models for Recognition, http://www.cs.berkeley.edu/~rbg/ICCV2013/
CVPR 2012 Tutorial on Multiview Feature Learning: http://www.iro.umontreal.ca/~memisevr/multiview-feature-learning-cvpr/
Video of orals or tutorial:
ICCV 2013 Oral & Tutorial: Video
Databases:
Lifespan and FACES, http://www.csee.wvu.edu/~gdguo/Data/data.htm
LFW database: http://vis-www.cs.umass.edu/lfw/
YTF database: http://www.cs.tau.ac.il/~wolf/ytfaces/
http://www.ecse.rpi.edu/~cvrl/database/other_Face_Databases.htm
Face Image Processing:
5 point alignment:
http://www.cs.utah.edu/~dperry/class/cs6640/transformations/
Image Quality Index: https://ece.uwaterloo.ca/~z70wang/research/ssim/
Struct SVM:
Matlab interface: http://www.robots.ox.ac.uk/~vedaldi/code/svm-struct-matlab.html
Struct SVM: http://osmot.cs.cornell.edu/svm_struct/v3.10/
Tech report: http://arxiv.org/pdf/1312.1743.pdf
Computer Vision Features:
Local Binary Pattern:
http://www.ee.oulu.fi/research/imag/mvg/files/pdf/CVPR-tutorial-final.pdf
A good site on HOG: http://web.mit.edu/vondrick/ihog/
Useful Links:
Matrix Calculus: http://www.atmos.washington.edu/~dennis/MatrixCalculus.pdf
OpenCourse Video:
PGM:
https://class.coursera.org/pgm-003/lecture
Analysis of 3D shapes from TUM:
http://vision.in.tum.de/teaching/ss2014/lecture_shape_analysis
Deep learning:
Tutorial on Theano using Logistric Regression:
http://deeplearning.net/tutorial/logreg.html
A video on using Python for deep learning practice: