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

Stand: 2017-11-20 000000m 22:06:49 - Overview

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Name (Institute + Shorttitle)3D Object in Clutter Recognition and Segmentation 
Description (include details on usage, files and paper references)The dataset is composed of 150 synthetic scenes, captured with a (perspective) virtual camera, and each scene contains 3 to 5 objects. The model set is composed of 20 different objects, taken from different sources and then processed in order to obtain comparably smooth surfaces of almost uniform 100-350k triangles with an average resolution of 1.0.

In particular, the model set contains processed versions of:
armadillo, bunny, dragon from the Stanford 3D scanning repository
chef, t-rex, parasaurolophus, chicken, rhino from A. Mian object recognition dataset
cat1, centaur1, david2, dog7, gorilla0, horse7, lioness13, victoria3, wolf2 from TOSCAs non-rigid world
face by Matteo Sala
ganesha from the Computer Vision lab in CaFoscari
gun0026 from SHREC 2011 retrieval dataset


A Scale Independent Selection Process for 3D Object Recognition in Cluttered scenes.
Emanuele RodolÓ, Andrea Albarelli, Filippo Bergamasco, and Andrea Torsello.
International Journal of Computer Vision (IJCV) - Special Issue on 3D Imaging, Processing and Modeling Techniques.
March 2013, Vol.102 Issue 1, pp 129-145
 
URL Linkhttp://www.dsi.unive.it/~rodola/data.html 
Files (#)150 
References (SKIPPED)
Category (SKIPPED)Recognition, Segmentation 
Tags (single words, spaced)recognition, segmentation, mesh, synthetic 
Last Changed2017-11-20 
Turing (2.12+3.25=?) :-)