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SHREC'12 Track: Sketch-Based 3D Shape Retrieval

Metadata Updated: July 29, 2022

The objective of this SHREC'12 track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using both hand-drawn and standard line drawings sketch queries on a watertight 3D model dataset.

Sketch-based 3D model retrieval is to retrieve 3D models using a 2D sketch as input. This scheme is intuitive and convenient for users to search for relevant 3D models and also important for several applications including sketch-based modeling and sketch-based shape recognition. However, most existing 3D model retrieval algorithms target the Query-by-Model framework, that is, using existing 3D models as queries. Much less research work has been done regarding the Query-by-Sketch framework. In addition, until now there was no comprehensive evaluation or comparison for available sketch-based retrieval algorithms. Considering of this, we organized this track to foster this challenging research area by providing a common sketch-based retrieval benchmark and soliciting retrieval results from current state-of-the-art retrieval methods for comparison. We also provide corresponding evaluation code for computing a set of performance metrics similar to those used in the Query-by-Model retrieval technique.

Dataset: 3D target Models is 400, 2D query set comprises two subsets: (1) Hand-drawn sketches, and (2) Standard line drawings

Please cite the paper: [1] B. Li, T. Schreck, A. Godil, M. Alexa, T. Boubekeur, B. Bustos, J. Chen, M. Eitz, T. Furuya, K. Hildebrand, S. Huang, H. Johan, A. Kuijper, R. Ohbuchi, R. Richter, J. M. Saavedra, M. Scherer, T. Yanagimachi, G. J. Yoon, S. M. Yoon, In: M. Spagnuolo, M. Bronstein, A. Bronstein, and A. Ferreira (eds.), SHREC'12 Track: Sketch-Based 3D Shape Retrieval, Eurographics Workshop on 3D Object Retrieval 2012 (3DOR 2012), 2012.

Access & Use Information

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

Downloads & Resources

References

https://doi.org/10.2312/3DOR/3DOR12/109-118

Dates

Metadata Created Date March 11, 2021
Metadata Updated Date July 29, 2022
Data Update Frequency irregular

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/mds2-2222
Data First Published 2020-04-14
Language en
Data Last Modified 2012-01-30 00:00:00
Category Information Technology:Data and informatics, Mathematics and Statistics:Image and signal processing
Public Access Level public
Data Update Frequency irregular
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 b597219f-2600-432b-8696-e0b0eb5a7db3
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-2222
License https://www.nist.gov/open/license
Program Code 006:045
Related Documents https://doi.org/10.2312/3DOR/3DOR12/109-118
Source Datajson Identifier True
Source Hash 3aaea83a5827f97a7cce7f99413c7b7560133850
Source Schema Version 1.1

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