AdelaideRMF

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AdelaideRMF

AdelaideRMF: Robust Model Fitting Data SetAdelaideRMF 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.Each Matlab .mat file contains:img1 - left imageimg2 - right imagedata - keypoint correspondences (x1,y1,1,x2,y2,1) where (x1,y1) in img1 and (x2,y2) in img2score - SIFT correspondences matching scorelabel - 0 indicates gross outliers and others indicate the structure membershipThe complete dataset can be downloaded here. To download the individual data, please click the data name below.Hoi Sim Wong, Tat-Jun Chin, Jin Yu, and David Suter, Dynamic and Hierarchical Multi-Structure GeometricModel Fitting, International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011.For enquires regarding this data set, please email hoi.wong@adelaiade.edu.auSee alsohttp://cs.adelaide.edu.au/~dsuter/code_and_data/hanzi_2011_fitting/Simultaneously Fitting and Segmenting Multiple-Structural Data with Outliers", H. Wang, T-J Chin and D. Suter

Dataset Attributes

Label SVG
CategoriesFeature, Matching, Getry, Model