init

Author: yuxng

Diff for: LICENSE

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+Copyright (c) 2016 Computational Vision and Geometry Lab at Stanford University
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

Diff for: README.md

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-# ObjectNet3D_toolbox
+# ObjectNet3D_toolbox
+
+Created by Yu Xiang at CVGL at Stanford University.
+
+### Introduction
+
+This is the toolbox for the [ObjectNet3D database](http://cvgl.stanford.edu/projects/objectnet3d/) introduced for 3D object recognition.
+ObjectNet3D consists of 100 categories, 90,127 images, 201,888 objects in these images. 
+Objects in the images in our database are aligned with the 3D shapes, 
+and the alignment provides both accurate 3D pose annotation and the closest 
+3D shape annotation for each 2D object.
+
+### License
+
+ObjectNet3D is released under the MIT License (refer to the LICENSE file for details).
+
+### Citing ObjectNet3D
+
+If you find SubCNN useful in your research, please consider citing:
+
+    @incollection{xiang2016objectnet3d,
+        author = {Xiang, Yu and Kim, Wonhui and Chen, Wei and Ji, Jingwei and Choy, Christopher 
+               and Su, Hao and Mottaghi, Roozbeh and Guibas, Leonidas and Savarese, Silvio},
+        title = {ObjectNet3D: A Large Scale Database for 3D Object Recognition},
+        booktitle = {European Conference Computer Vision (ECCV)},
+        year = {2016}
+    }
+
+### Usage