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

Stand: 2018-02-25 000000m 02:48:44 - Overview

Attribute Current Content New
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 Link 
Files (#)150 
References (SKIPPED)
Category (SKIPPED)Recognition, Segmentation 
Tags (single words, spaced)recognition, segmentation, mesh, synthetic 
Last Changed2018-02-25 
Turing (2.12+3.25=?) :-)