
Software release for the paper:
Neubert, P. & Schubert, S. (2021) Hyperdimensional computing as a 
framework for systematic aggregation of image descriptors. In Proc. of 
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 

demo.m demonstrates the HDC-DELF encoding on a GardensPointWalking sequence. 
The actual HDC encoding is implemented in encodeImagesHDCBundling.m (and
uses the pose encoding provided in encodePosesHDCconcatMultiAttractor.m).

To apply this on your own dataset, you have to provide DELF features (or similar)
in the format demonstrated by the GardensPointWalking sequences in the data 
folder.

Please feel free to ask for help, pose any question or report issues to
Peer Neubert, peer.neubert@etit.tu-chemnitz.de


  =====================================================================
  Copyright (C) 2021 
  Peer Neubert, peer.neubert@etit.tu-chemnitz.de

  This program is free software: you can redistribute it and/or modify
  it under the terms of the GNU General Public License as published by
  the Free Software Foundation, either version 3 of the License, or
  (at your option) any later version.
  
  This program is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU General Public License for more details.
  
  You should have received a copy of the GNU General Public License
  along with this program.  If not, see <http://www.gnu.org/licenses/>.
  =====================================================================
