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    2D Scene Sketch-Based 3D Scene Retrieval

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    Date
    2018
    Author
    Yuan, Juefei
    Li, Bo
    Lu, Yijuan
    Bai, Song
    Bai, Xiang
    Bui, Ngoc-Minh
    Do, Minh N.
    Do, Trong-Le
    Duong, Anh-Duc
    He, Xinwei
    Le, Tu-Khiem
    Li, Wenhui
    Liu, Anan
    Liu, Xiaolong
    Nguyen, Khac-Tuan
    Nguyen, Vinh-Tiep
    Nie, Weizhi
    Ninh, Van-Tu
    Su, Yuting
    Ton-That, Vinh
    Tran, Minh-Triet ORCID
    Xiang, Shu
    Zhou, Heyu
    Zhou, Yang
    Zhou, Zhichao
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    Abstract
    Sketch-based 3D model retrieval has the intuitiveness advantage over other types of retrieval schemes. Currently, there is a lot of research in sketch-based 3D model retrieval, which usually targets the problem of retrieving a list of candidate 3D models using a single sketch as input. 2D scene sketch-based 3D scene retrieval is a brand new research topic in the field of 3D object retrieval. Unlike traditional sketch-based 3D model retrieval which ideally assumes that a query sketch contains only a single object, this is a new 3D model retrieval topic within the context of a 2D scene sketch which contains several objects that may overlap with each other and thus be occluded and also have relative location configurations. It is challenging due to the semantic gap existing between the iconic 2D representation of sketches and more accurate 3D representation of 3D models. But it also has vast applications such as 3D scene reconstruction, autonomous driving cars, 3D geometry video retrieval, and 3D AR/VR Entertainment. Therefore, this research topic deserves our further exploration. To promote this interesting research, we organize this SHREC track and build the first 2D scene sketch-based 3D scene retrieval benchmark by collecting 3D scenes from Google 3D Warehouse and utilizing our previously proposed 2D scene sketch dataset Scene250. The objective of this track is to evaluate the performance of different 2D scene sketch-based 3D scene retrieval algorithms using a 2D sketch query dataset and a 3D Warehouse model dataset. The benchmark contains 250 scene sketches and 1000 3D scene models, and both are equally classified into 10 classes. In this track, six groups from five countries (China, Chile, USA, UK, and Vietnam) have registered for the track, while due to many challenges involved, only 3 groups have successfully submitted 8 runs. The retrieval performance of submitted results has been evaluated using 7 commonly used retrieval performance metrics. We also conduct a thorough analysis and discussion on those methods, and suggest several future research directions to tackle this research problem. We wish this publicly available [YLL18] benchmark, comparative evaluation results and corresponding evaluation code, will further enrich and advance the research of 2D scene sketch-based 3D scene retrieval and its applications.
    BibTeX
    @inproceedings {10.2312:3dor.20181050,
    booktitle = {Eurographics Workshop on 3D Object Retrieval},
    editor = {Telea, Alex and Theoharis, Theoharis and Veltkamp, Remco},
    title = {{2D Scene Sketch-Based 3D Scene Retrieval}},
    author = {Yuan, Juefei and Li, Bo and Lu, Yijuan and Bai, Song and Bai, Xiang and Bui, Ngoc-Minh and Do, Minh N. and Do, Trong-Le and Duong, Anh-Duc and He, Xinwei and Le, Tu-Khiem and Li, Wenhui and Liu, Anan and Liu, Xiaolong and Nguyen, Khac-Tuan and Nguyen, Vinh-Tiep and Nie, Weizhi and Ninh, Van-Tu and Su, Yuting and Ton-That, Vinh and Tran, Minh-Triet and Xiang, Shu and Zhou, Heyu and Zhou, Yang and Zhou, Zhichao},
    year = {2018},
    publisher = {The Eurographics Association},
    ISSN = {1997-0471},
    ISBN = {978-3-03868-053-6},
    DOI = {10.2312/3dor.20181050}
    }
    URI
    http://dx.doi.org/10.2312/3dor.20181050
    https://diglib.eg.org:443/handle/10.2312/3dor20181050
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA