Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

SHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrieval

Metadata Updated: July 29, 2022

Objective: The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query dataset for querying from a generic 3D model dataset.

Introduction: Sketch-based 3D model retrieval is focusing on retrieving relevant 3D models using sketch(es) as input. This scheme is intuitive and convenient for users to learn and search for 3D models. It is also popular and important for related applications such as sketch-based modeling and recognition, as well as 3D animation production via 3D reconstruction of a scene of 2D storyboard.

Please cite the papers:

[1] B. Li, Y. Lu, Afzal Godil, Tobias Schreck, Masaki Aono, Henry Johan, Jose M. Saavedra, S. Tashiro, In: S. Biasotti, I. Pratikakis, U. Castellani, T. Schreck, A. Godil, and R. Veltkamp (eds.), SHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrieval, Eurographics Workshop on 3D Object Retrieval 2013 (3DOR 2013): 89-96, 2013.

[2] B. Li, Y. Lu, A. Godil, T. Schreck, B. Bustos, A. Ferreira, T. Furuya, M.J. Fonseca, H. Johan, T. Matsuda, R. Ohbuchi, P.B. Pascoal, J.M. Saavedra, A comparison of methods for sketch-based 3D shape retrieval, Computer Vision and Image Understanding (2013), doi: http://dx.doi.org/10.1016/j.cviu.2013.11.008.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://www.nist.gov/publications/shrec14613-track-large-scale-sketch-based-3d-shape-retrieval
http://dx.doi.org/10.1016/j.cviu.2013.11.008

Dates

Metadata Created Date March 11, 2021
Metadata Updated Date July 29, 2022

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date March 11, 2021
Metadata Updated Date July 29, 2022
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-2220
Data First Published 2020-04-14
Language en
Data Last Modified 2013-01-14 00:00:00
Category Mathematics and Statistics:Image and signal processing, Information Technology:Data and informatics
Public Access Level public
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 226ac34b-e4c3-490e-8fcb-2a226712935e
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-2220
License https://www.nist.gov/open/license
Program Code 006:045
Related Documents https://www.nist.gov/publications/shrec14613-track-large-scale-sketch-based-3d-shape-retrieval, http://dx.doi.org/10.1016/j.cviu.2013.11.008
Source Datajson Identifier True
Source Hash 4fa7edbf76117aa6abab9283c0d77fc4eabc17fc
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.