Learning weighted Hamming distance for binary descriptors

@article{Fan2013LearningWH,
  title={Learning weighted Hamming distance for binary descriptors},
  author={Bin Fan and Qingqun Kong and Xiao-Tong Yuan and Zhiheng Wang and Chunhong Pan},
  journal={2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2013},
  pages={2395-2399}
}
Local image descriptors are one of the key components in many computer vision applications. Recently, binary descriptors have received increasing interest of the community for its efficiency and low memory cost. The similarity of binary descriptors is measured by Hamming distance which has equal emphasis on all elements of binary descriptors. This paper… CONTINUE READING