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Visual Localization with a Fully Convolutional Encoder-Decoder NetworkChinese Full Text

LI Chenmin;YAO Jian;GONG Ye;LIU Xinyi;School of Remote Sensing and Information Engineering,Wuhan University;

Abstract: To address the limitations of using the hand-crafted feature in present visual localization methods,a method is proposed in this paper based on a fully convolutional encoderdecoder network for visual localization. Different from the previous approaches of scene construction,this method maps 3D scene coordinates to the BGR cube,thus directly establishes the connection between images and the structure of scene,and learns their conncection through the fully convolutional encoder-decoder network. Gi... More
  • DOI:

    10.14188/j.2095-6045.2020072

  • Series:

    (A) Mathematics/ Physics/ Mechanics/ Astronomy; (I) Electronic Technology & Information Science

  • Subject:

    Computer Software and Application of Computer

  • Classification Code:

    TP391.41

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