add userful materials

Author: ravenbh

README.md

@@ -1 +1,29 @@
 # Face-Resources
+Following is a growing list of some of the materials I found on the web for research on face recognition algorithm.
+##Papers
+1. [DeepFace](https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf).A work from Facebook.
+2. [FaceNet](http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_089.pdf).A work from Google.
+
+##Datasets
+
+1. [CASIA WebFace Database](http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html). 10,575 subjects and 494,414 images
+2. [Labeled Faces in the Wild](http://vis-www.cs.umass.edu/lfw/).13,000 images and 5749 subjects
+3. [Large-scale CelebFaces Attributes (CelebA) Dataset](http://mmlab.ie.cuhk.edu.hk/projects/) 202,599 images and 10,177 subjects. 5 landmark locations, 40 binary attributes.
+4. [MSRA-CFW](http://research.microsoft.com/en-us/projects/msra-cfw/). 202,792 images and 1,583 subjects.
+##Trained Model
+1. [openface](https://github.com/cmusatyalab/openface). Face recognition with Google's FaceNet deep neural network using Torch.
+2. [VGG-Face](http://www.robots.ox.ac.uk/~vgg/software/vgg_face/). VGG-Face CNN descriptor. Impressed embedding loss.
+##Software
+1. [OpenCV](http://opencv.org/)
+2. [dlib](http://dlib.net/ml.html)
+3. [ccv](https://github.com/liuliu/ccv)
+
+##Frameworks
+1. [Caffe](http://caffe.berkeleyvision.org/)
+2. [Torch7](https://github.com/torch/torch7)
+3. [Theano](http://deeplearning.net/software/theano/)
+4. [cuda-convnet](https://code.google.com/p/cuda-convnet/)
+
+##Miscellaneous
+1. [faceswap](https://github.com/matthewearl/faceswap)  Face swapping with Python, dlib, and OpenCV
+2. [Facial Keypoints Detection](https://www.kaggle.com/c/facial-keypoints-detection/details/deep-learning-tutorial) Competition on Kaggle.