Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-07-22 000000m 02:30:37 - Overview

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Name (Institute + Shorttitle)AdelaideRMF 
Description (include details on usage, files and paper references)AdelaideRMF: Robust Model Fitting Data Set

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.

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
The 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 Geometric
Model Fitting, International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011.

For enquires regarding this data set, please email hoi.wong@adelaiade.edu.au

See also
http://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
 
URL Linkhttp://cs.adelaide.edu.au/~hwong/doku.php?id=data 
Files (#)34 
References (SKIPPED)
Category (SKIPPED)Feature Matching, Model Fitting 
Tags (single words, spaced)feature, matching, getry, model 
Last Changed2017-07-22 
Turing (2.12+3.25=?) :-)