This MATLAB package implements kernel descriptors proposed in [1-2].
There are nine directories in the package:

- demo_rgb: Demo scripts to show the usage of kernel descriptors for image recognition.
- demo_rgbd: Demo scripts to show the usage of kernel descriptors for RGB-D object recognition
- emk: Efficient match kernels that generate image/object level features based on kernel descriptors. 
  Please download the emk package from http://www.cs.washington.edu/homes/lfb/software/EMK.htm.
  Copy the subfolder /emk_1.0/emk/ to kdes_2.0/emk/.
- helpfun: Helpful functions such as K-Means and power transformations.
- images: Directory of storing training and test data.
- kdes: Kernel descriptors for RGB and depth images.
- liblinear-1.5-dense: Liblinear in the dense format, modified by Xiaofeng Ren.
- liblinear-1.5-dense-float: Liblinear in the dense float format, modified by Xiaofeng Ren.
- lsvm: A Matlab version of linear SVMs

[1] Liefeng Bo, Xiaofeng Ren and Dieter Fox, Kernel Descriptors for Visual Recognition, Advances in Neural Information Processing Systems (NIPS), 2010.
[2] Liefeng Bo, Xiaofeng Ren and Dieter Fox, Depth Kernel Descriptors for Object Recognition, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2011.

This software is developed by Liefeng Bo at the University of Washington. Please contact lfb@cs.washington.edu if you found any bugs.

The following are the links to the datasets used to evaluate kernel descriptors in demos.

-RGBD Object Dataset: assumed to be in images/rgbdsubset
The dataset is available at http://www.cs.washington.edu/rgbd-dataset

-Bird200: assumed to be in images/bird200
The dataset is available at http://vision.caltech.edu/visipedia/CUB-200.html

-Caltech101: assumed to be in images/caltech101
The dataset is available at http://vision.stanford.edu/resources_links.html

-Cifar10: assumed to be in images/cifar10
The dataset is available at http://www.cs.toronto.edu/~kriz/cifar.html

-Extended Yaleface: assumed to be in images/yaleface38
The dataset is available at http://vision.ucsd.edu/~leekc/ExtYaleDatabase/ExtYaleB.html

-USPS: assumed to be in images/usps
The dataset is available at http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets

-Scene15: assumed to be in images/scene15
The dataset is available at http://www.cs.unc.edu/~lazebnik

-UIUC-Sports: assumed to be in images/sports
The dataset is available at http://vision.stanford.edu/lijiali/event_dataset