Laser & Optoelectronics Progress, Volume. 56, Issue 18, 181501(2019)

Loop Closure Detection Algorithm Based on Convolutional Autoencoder Fused with Gist Feature

Chenli Qiu1,2, Dongzhen Huang1,2, Huawei Liu1, Xiaobing Yuan1, and Baoqing Li1、*
Author Affiliations
  • 1 Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
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    References(21)

    [4] Bay H. Tuytelaars T, van Gool L. SURF: speeded up robust features[M]. //Leonardis A, Bischof H, Pinz A. Computer vision-ECCV 2006. Lecture notes in computer science. Berlin Heidelberg: Springer, 3951, 404-417(2006).

    [5] Rublee E, Rabaud V, Konolige K et al. ORB: an efficient alternative to SIFT or SURF. [C]//2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York: IEEE, 2564-2571(2011).

    [7] Mur-Artal R. Montiel J M M, Tardós J D. ORB-SLAM: a versatile and accurate monocular SLAM system[J]. IEEE Transactions on Robotics, 31, 1147-1163(2015).

    [9] Liu Y, Zhang H. Visual loop closure detection with a compact image descriptor. [C]//2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 7-12, 2012, Vilamoura, Portugal. New York: IEEE, 1051-1056(2012).

    [10] Hou Y, Zhang H, Zhou S L. Convolutional neural network-based image representation for visual loop closure detection. [C]//2015 IEEE International Conference on Information and Automation, August 8-10, 2015, Lijiang, China. New York: IEEE, 2238-2245(2015).

    [11] Zhou B L, Lapedriza A, Xiao J X et al. Learning deep features for scene recognition using places database[C]//Proceedings of the 27th International Conference on Neural Information Processing Systems, December 8-13, 2014, Montreal, Canada., 487-495(2014).

    [12] Sünderhauf N, Shirazi S, Dayoub F et al. On the performance of ConvNet features for place recognition. [C]//2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 28-October 2, 2015, Hamburg, Germany. New York: IEEE, 4297-4304(2015).

    [13] Gao X, Zhang T. Loop closure detection for visual SLAM systems using deep neural networks. [C]//2015 34th Chinese Control Conference (CCC), July 28-30, 2015, Hangzhou, China. New York: IEEE, 5851-5856(2015).

    [18] Redmon J, Farhadi A. YOLO9000: better, faster, stronger. [C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 6517-6525(2017).

    [20] Glorot X, Bordes A, Bengio Y. Deep sparse rectifier neural networks. [C]//14th International Conference on Artificial Intelligence and Statistics, April 11-13, 2011, Fort Lauderdale, USA. Cambridge: PMLR, 15, 315-323(2011).

    [21] He K M, Sun J. Convolutional neural networks at constrained time cost. [C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 5353-5360(2015).

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    Chenli Qiu, Dongzhen Huang, Huawei Liu, Xiaobing Yuan, Baoqing Li. Loop Closure Detection Algorithm Based on Convolutional Autoencoder Fused with Gist Feature[J]. Laser & Optoelectronics Progress, 2019, 56(18): 181501

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    Paper Information

    Category: Machine Vision

    Received: Jan. 12, 2019

    Accepted: Apr. 9, 2019

    Published Online: Sep. 9, 2019

    The Author Email: Li Baoqing (sinoiot@mail.sim.ac.cn)

    DOI:10.3788/LOP56.181501

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