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Inhalt des Dokuments

Robust Local Optical Flow

The RLOFlib library is a multi-threading feature tracking library that provides access to the implementation of our recently developed PLK/RLOF based local optical flow methods. Our research is motivated by the problem of local motion estimation via robust regression with linear models. Motivated by the ongoing success of the Lucas Kanade method, we focus on optical flow based feature tracking methods with the requirements of real-time capability, accuracy and scalability.

Related Publications

Publications

2014

  • Tobias Senst, Thilo Borgmann, Ivo Keller, Thomas Sikora
    Cross based Robust Local Optical Flow
    21th IEEE International Conference on Image Processing, Paris,France, 27.10.2014 - 30.10.2014
    Details BibTeX

2013

2012

2011

 

 

Change Logs
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twitter.com/RLOFLib

08/01/2013 Release Version 1.1

  • Improved GPU implementation by extending image borders and enhanced the runtime performance of the CL kernels.
  • Parallelize CPU implementation using Thread Building Blocks and SSE2.

17/11/2014 Release Version 1.2

  • Add cross based and bilinear equation based variations of PLK/RLOF.
  • Remove GPU support and CUDA dependencies.
  • Support Windows, Linux and MAC OS with the following paralellization techniques

  • Windows (32-bit)
    Windows (64-bit)
    Linux (64-bit)
    Mac OS (64-bit)
    SSE
    yes
    yes
    yes
    yes
    TBB
    yes
    yes
    no
    no
    OpenMP
    no
    no
    yes
    yes

Description
Online Dokumentation
RLOF/Doc

The documentation is included in the RLOF package (/Doc/html/index.html) too.

Please feel free to contact us () if you need a specific compilant for your development enviroment that is not listed below.

 Current versions are available:

  • Windows C++ Visual Studio 2010 [x86/x64]
  • Windows C++ Visual Studio 2011 [x86/x64]
  • Windows Matlab [x86/x64]
  • Linux C++ [x64]
  • Linux Matlab [x64]
  • Mac OS C++ [x64]

[README]

[List of people who downloaded the RLOFLib] (TXT, 5,0 KB)

To receive the code, please fill out the form.

Terms of Use

All code is provided for research purposes only and without any warranty. Any commercial use is prohibited. By using the code in your research work, you should cite the respective paper.

 

 

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