AdelaideRMF - Robust Model Fitting Dataset

AdelaideRMF is a data set for robust geometric model fitting (homography estimation and fundamental matrix estimation). We collected a set of image pairs and manually labelled the keypoint correspondences which were obtained by SIFT matching.

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Format

Each Matlab .mat file contains:

  • img1 - left image
  • img2 - right image
  • data - keypoint correspondences (x1,y1,1,x2,y2,1) where (x1,y1) in img1 and (x2,y2) in img2
  • score - SIFT correspondences matching score
  • label - 0 indicates gross outliers and others indicate the structure membership

Citation

If you use this dataset in a publication, please cite:

  • Hoi Sim Wong, Tat-Jun Chin, Jin Yu and David Suter, Dynamic and Hierarchical Multi-Structure Geometric Model Fitting, International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011.
    @inproceedings{wong11,
      author = {Hoi Sim Wong and Tat-Jun Chin and Jin Yu and David Suter},
      booktitle = {International Conference on Computer Vision (ICCV)},
      title = {Dynamic and hierarchical multi-structure geometric model fitting},
      year = {2011}
    }
    

Correspondence sets

Click on each image to download.

Union House Bonython Physics Elder Hall A Lady Symon Library
Nese Sene Napier A Hartley Old Classics Wing Barr-Smith
Neem Elder Hall B Napier B Johnson A Johnson B Cube
Book Biscuit Game Biscuitbook Breadcube Breadtoy
Cubechips Cubetoy Gamebiscuit Breadtoycar Carchipscube Toycubecar
Breadcubechips Biscuitbookbox Cubebreadtoychips Breadcartoychips Dinobooks Board Game
Unihouse Bonhall

Change Log

  • 16 June 2012 - original camera images are now available for download.
  • 6 June 2012 - added 4 more data to AdelaideRMF (see data 35-38). adelaidermf.rar is also updated.
  • 2 May 2011 - 34 data of AdelaideRMF is available online.

Enquiries

For enquires regarding this data set, please email hoisimwong@gmail.com or tat-jun.chin@adelaide.edu.au.