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

Stand: 2017-11-24 000000m 21:29:44 - Overview

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Name (Institute + Shorttitle)An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects (T-LESS) 
Description (include details on usage, files and paper references) A dataset acquired with 3 synchronized sensors (Primesense Carmine 1.09, Microsoft Kinect v2, Canon IXUS 950 IS), featuring:

* 30 industry-relevant objects: no discriminative color, no texture, often similar in shape, some objects are parts of others.

* Training images depicting individual objects against a black background.

* Test images originating from 20 test scenes whose complexity varies from simple scenes with several isolated objects to very challenging ones with multiple object instances and a high amount of clutter and occlusion.

* Two types of 3D models for each object: a manually created CAD model and a semi-automatically reconstructed one.

* Accurate 3D pose for all object instances and images.

Reference:
T. Hodaň, P. Haluza, Š. Obdržálek, J. Matas, M. Lourakis, X. Zabulis,
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects,
IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 880-888, 2017, Santa Rosa, USA 
URL Linkhttp://cmp.felk.cvut.cz/t-less/ 
Files (#)38 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)RGBD 3D pose texture-less object estimation 
Last Changed2017-11-24 
Turing (2.12+3.25=?) :-)