1. Project 3 SIFT Matching by Binary SIFT 2014-4-21

2. Experiment Setting Image database – UKBench dataset: http://pan.baidu.com/s/1jGgFY6qhttp://pan.baidu.com/s/1jGgFY6q 10200 images from 2550 categories Feature extraction – SIFT feature The source code will be provided – http://staff.ustc.edu.cn/~zhwg/download/DSift.rar

3. Tasks Binary SIFT Generation – Transform each SIFT to a 256-bit binary signature Feature matching based on q Binary SIFT – Two features from two images are considered as a match if the Hamming distance between their binary signatures is less than t – Test the impact of t on feature matching performance – Select 5 relevant image pairs to conduct feature matching – Select 5 irrelevant image pairs to conduct feature matching

4. Implementation Program with C++ or Matlab – You may need Open CV when programing with C++ OpenCV 210 library files are provided – You do not need to install the OpenCV source file Refer to OpenCV China for instructions to set programming environment – http://wiki.opencv.org.cn/index.php/Template:Install http://wiki.opencv.org.cn/index.php/Template:Install Refer to OpenCV China for instructions to process images : – http://wiki.opencv.org.cn/index.php/%E9%A6%96%E9%A1%B5 http://wiki.opencv.org.cn/index.php/%E9%A6%96%E9%A1%B5