A comparison of methods for sketch-based 3D shape retrieval

被引:82
|
作者
Li, Bo [1 ,2 ]
Lu, Yijuan [1 ]
Godil, Afzal [2 ]
Schreck, Tobias
Bustos, Benjamin [3 ]
Ferreira, Alfredo [4 ]
Furuya, Takahiko [5 ]
Fonseca, Manuel J. [4 ]
Johan, Henry [6 ]
Matsuda, Takahiro [5 ]
Ohbuchi, Ryutarou [5 ]
Pascoal, Pedro B. [4 ]
Saavedra, Jose M. [3 ,7 ]
机构
[1] Texas State Univ, Dept Comp Sci, San Marcos, TX 78666 USA
[2] Natl Inst Stand & Technol, Informat Technol Lab, Gaithersburg, MD 20899 USA
[3] Univ Chile, Santiago, Chile
[4] Univ Tecn Lisboa, INESCID, Inst Super Tecn, Lisbon, Portugal
[5] Univ Yamanashi, Comp Sci & Engn Dept, Yamanashi, Japan
[6] Fraunhofer IDM NTU, Visual Comp, Singapore, Singapore
[7] Comp Vis Res Grp ORAND SA, Santiago, Chile
基金
新加坡国家研究基金会;
关键词
Sketch-based 3D model retrieval; Evaluation; SHREC contest; Large-scale; Benchmark; NAME AGREEMENT; IMAGE AGREEMENT; VISUAL COMPLEXITY; MODEL RETRIEVAL; FAMILIARITY; PICTURES; NORMS; SET; LINES; RECOGNITION;
D O I
10.1016/j.cviu.2013.11.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) tracks on this topic have been organized by us in 2012 and 2013 based on a small-scale and large-scale benchmarks, respectively. Six and five (nine in total) distinct sketch-based 3D shape retrieval method have competed each other in these two contests, respectively. To measure and compare the performance of the top participating and other existing promising sketch-based 3D shape retrieval methods and solicit the state-of-the-art approaches, we perform a more comprehensive comparison of fifteen best (four top participating algorithms and eleven additional state-of-the-art methods) retrieval methods by completing the evaluation of each method on both benchmarks. The benchmarks, results, and evaluation tools for the two tracks are publicly available on our websites [1,2]. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:57 / 80
页数:24
相关论文
共 50 条
  • [1] Sketch-Based Articulated 3D Shape Retrieval
    Sahillioglu, Yusuf
    Sezgin, Metin
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2017, 37 (06) : 88 - 101
  • [2] DUAL INDEPENDENT CLASSIFICATION FOR SKETCH-BASED 3D SHAPE RETRIEVAL
    Mouffok, Moncef Zakaria
    Tabia, Hedi
    Elhara, Ouassim Ait
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2020, : 2676 - 2680
  • [3] 3D Sketch-Based 3D Model Retrieval
    Li, Bo
    Lu, Yijuan
    Ghunnman, Azeem
    Strylowski, Bradley
    Gutierrez, Mario
    Sadiq, Safiyah
    Forster, Scott
    Feola, Natacha
    Bugerin, Travis
    [J]. ICMR'15: PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, 2015, : 555 - 558
  • [4] Learning Barycentric Representations of 3D Shapes for Sketch-based 3D Shape Retrieval
    Xie, Jin
    Dai, Guoxian
    Zhu, Fan
    Fang, Yi
    [J]. 30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 3615 - 3623
  • [5] SHREC’22 track: Sketch-based 3D shape retrieval in the wild
    Qin, Jie
    Yuan, Shuaihang
    Chen, Jiaxin
    Ben Amor, Boulbaba
    Fang, Yi
    Hoang-Xuan, Nhat
    Chu, Chi-Bien
    Nguyen-Ngoc, Khoi-Nguyen
    Cao, Thien-Tri
    Ngo, Nhat-Khang
    Huynh, Tuan-Luc
    Nguyen, Hai-Dang
    Tran, Minh-Triet
    Luo, Haoyang
    Wang, Jianning
    Zhang, Zheng
    Xin, Zihao
    Wang, Yang
    Wang, Feng
    Tang, Ying
    Chen, Haiqin
    Wang, Yan
    Zhou, Qunying
    Zhang, Ji
    Wang, Hongyuan
    [J]. Computers and Graphics (Pergamon), 2022, 107 : 104 - 115
  • [6] Uncertainty Learning for Noise Resistant Sketch-Based 3D Shape Retrieval
    Liang, Shuang
    Dai, Weidong
    Wei, Yichen
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30 : 8632 - 8643
  • [7] DualShape: Sketch-Based 3D Shape Design With Part Generation and Retrieval
    Du, Xusheng
    Zhang, Tianyu
    Xie, Haoran
    [J]. IEEE ACCESS, 2024, 12 : 18888 - 18900
  • [8] Sketch-based 3D Shape Retrieval using Convolutional Neural Networks
    Wang, Fang
    Kang, Le
    Li, Yi
    [J]. 2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2015, : 1875 - 1883
  • [9] Toward Fine-Grained Sketch-Based 3D Shape Retrieval
    Qi, Anran
    Gryaditskaya, Yulia
    Song, Jifei
    Yang, Yongxin
    Qi, Yonggang
    Hospedales, Timothy M.
    Xiang, Tao
    Song, Yi-Zhe
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30 : 8595 - 8606
  • [10] Deep Correlated Metric Learning for Sketch-Based 3D Shape Retrieval
    Dai, Guoxian
    Xie, Jin
    Zhu, Fan
    Fang, Yi
    [J]. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 4002 - 4008