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

Stand: 2017-07-22 000000m 02:30:27 - Overview

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Name (Institute + Shorttitle)UWO GCO Volume Segmentation 
Description (include details on usage, files and paper references)The Western GCO Segmentation problem instances are provided to compare effects of graph size, neighborhood size, length of s to t paths, regional arc consistency (noise), and arc capacity magnitude. The graph construction is described in the papers:

liver 128128119
adhead 256256192
babyface 25025081
bone (256256119)
bone_subxyz (12812860)
bone_subx (128256119)
bone_subxyz_subx (6412860)
bone_subxy (128128119)
bone_subxyz_subxy (646460)
abdomen_long 512512551
abdomen_short 512512551

References:
[BJ01] Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D images. Yuri Boykov, Marie-Pierre Jolly. In International Conference on Computer Vision (ICCV), 1:105-112, 2001.
[BF06] Graph Cuts and Efficient N-D Image Segmentation. Yuri Boykov, Gareth Funka-Lea. In International Journal of Computer Vision (IJCV), 70(2):109-131, 2006.
[BK03] Computing Geodesics and Minimal Surfaces via Graph Cuts. Yuri Boykov, Vladimir Kolmogorov. In International Conference on Computer Vision (ICCV), 1:26-33, 2003.


The liver, bone, abdomen, babyface volumetric scans were provided by Siemens Corporate Research; adhead volumetric scan was provided by Robarts Research Institute. 
URL Linkhttp://vision.csd.uwo.ca/data/maxflow/ 
Files (#)11 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)medical liver babyface bone abdomen adhead face segmentation binary optimization 
Last Changed2017-07-22 
Turing (2.12+3.25=?) :-)