An Image-to-image Loop-Closure Detection Method Based on Unsupervised Landmark Extraction

被引:0
|
作者
Sariyanidi, Evangelos [1 ]
Sencan, Onur [1 ]
Temeltas, Hakan [1 ]
机构
[1] Istanbul Tech Univ, Dept Control & Automat Engn, TR-34469 Ayazaga Istanbul, Turkey
来源
2012 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2012年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a dedicated approach to detect loop closures using visually salient patches. We introduce a novel, energy maximization based saliency detection technique which has been used for unsupervised landmark extraction. We explain how to learn the extracted landmarks on-the-fly and re-identify them. Furthermore, we describe the sparse location representation we use to recognize previously seen locations in order to perform reliable loop closure detection. The performance of our method has been analyzed both on an indoor and an outdoor dataset, and it has been shown that our approach achieves quite promising results on both datasets.
引用
收藏
页码:420 / 425
页数:6
相关论文
共 50 条
  • [21] Lane Detection based on Object Detection and Image-to-image Translation
    Komori, Hiroyuki
    Onoguchi, Kazunori
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 1075 - 1082
  • [22] Loop Closure Detection Method Based on Similarity Differences between Image Blocks
    Huang, Yizhe
    Huang, Bin
    Zhang, Zhifu
    Shi, Yuanyuan
    Yuan, Yizhao
    Sun, Jinfeng
    SENSORS, 2023, 23 (20)
  • [23] Few-Shot Unsupervised Image-to-Image Translation
    Liu, Ming-Yu
    Huang, Xun
    Mallya, Arun
    Karras, Tero
    Aila, Timo
    Lehtinen, Jaakko
    Kautz, Jan
    2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 10550 - 10559
  • [24] Dual Contrastive Learning for Unsupervised Image-to-Image Translation
    Han, Junlin
    Shoeiby, Mehrdad
    Petersson, Lars
    Armin, Mohammad Ali
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021, 2021, : 746 - 755
  • [25] DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
    Yi, Zili
    Zhang, Hao
    Tan, Ping
    Gong, Minglun
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, : 2868 - 2876
  • [26] Unsupervised Learning of Threshold for Geometric Verification in Visual-Based Loop-Closure
    Lee, Gim Hee
    Pollefeys, Marc
    2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2014, : 1510 - 1516
  • [27] Improving Learning time in Unsupervised Image-to-Image Translation
    Min, Tae-Hong
    Kim, Do-Yun
    Choi, Young-June
    2019 1ST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (ICAIIC 2019), 2019, : 455 - 458
  • [28] Unsupervised Structure-Consistent Image-to-Image Translation
    Shahfar, Shima
    Poullis, Charalambos
    ADVANCES IN VISUAL COMPUTING, ISVC 2022, PT I, 2022, 13598 : 3 - 21
  • [29] GAIT: GRADIENT ADJUSTED UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION
    Akkaya, Ibrahim Batuhan
    Halici, Ugur
    2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2020, : 1591 - 1595
  • [30] The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation
    Richardson, Eitan
    Weiss, Yair
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 7855 - 7861