/correlation_flow

Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Correlation Flow

Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators

	Velocity Estimation in 3-D space $v_x, v_y, v_z, \omega_z$

Platform

Codes have been tested on Ubuntu 16.04 with ROS kinetic.

Install Dependencies:

  1. Install FFT library: sudo apt-get install libfftw3-dev libfftw3-doc

Install Intel Math Kernel Library (MKL) （optional）:

  1. Download MKL from Intel website
  2. Extract downloaded file tar -zxvf [name_of_downloaded_file]
  3. Go to extracted folder, give permission: sudo chmod +x install.sh
  4. Run installation ./install.sh
  5. Link library, add to .bashrc: source /opt/intel/bin/compilervars.sh intel64
  6. Try compile in ROS workspace

Papers associated with this work:

Chen Wang *, Tete Ji *, Thien-Minh Nguyen, and Lihua Xie, "Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators", submitted (*Chen Wang and Tete Ji are joint first authors).

Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan, Kernel Cross-Correlator, In AAAI Conference on Artificial Intelligence (AAAI-18), 2018 (PDF available here) (source codes available here)