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    • SHREC'12 Track: Generic 3D Shape Retrieval

    Metadata Updated: July 29, 2022

    Objective: The objective of this track is to evaluate the performance of 3D shape retrieval approaches on Generic 3D Dataset.

    Introduction: With the increasing number of 3D models are created every day and stored in databases, effectively searching a 3D repository for 3D shapes which are similar to a given 3D query model has become an important area of research. Benchmarking allows researchers to evaluate the quality of the results of different 3D shape retrieval approaches.

    Task description: The task is to evaluate the dissimilarity between every two objects in the database mentioned above and then output the dissimilarity matrix.

    Dataset: All the 3D models in the generic 3D dataset will be based on the combination of models from our previous generic 3D benchmarks. In this generic 3D dataset, there will be 1200 3D models, classified into 60 object categories based mainly on visual similarity. The file format used to represent the 3D models will be the ASCII Object File Format (*.off).

    Evaluation Methodology: We will employ the following evaluation measures: Precision-Recall curve (PR), Nearest Neighbor (NN), First-Tier (FT), Second-Tier (ST), E-Measure (E), Discounted Cumulative Gain (DCG) and Average Precision (AP).

    Please cite the paper: B. Li, A. Godil, M. Aono, X. Bai, T. Furuya, L. Li, R. Lopez-Sastre, H. Johan, R. Ohbuchi, C. Redondo-Cabrera, A. Tatsuma, T. Yanagimachi, S. Zhang, In: M. Spagnuolo, M. Bronstein, A. Bronstein, and A. Ferreira (eds.): SHREC'12 Track: Generic 3D Shape Retrieval, Eurographics Workshop on 3D Object Retrieval 2012 (3DOR 2012), 2012. http://dx.doi.org/10.2312/3DOR/3DOR12/119-126

    Access & Use Information

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

    Downloads & Resources

    References

    http://dx.doi.org/10.2312/3DOR/3DOR12/119-126

    Dates

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

    Metadata Source

    Harvested from NIST

    Other Data Resources

    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/mds2-2221
    Data First Published 2020-04-22
    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
    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 0c8598e2-ce55-4312-8a5a-fc7200f98db9
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/mds2-2221
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents http://dx.doi.org/10.2312/3DOR/3DOR12/119-126
    Source Datajson Identifier True
    Source Hash d19bbc339a5572607196a1950146aa7c35db1cbc
    Source Schema Version 1.1

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