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Author (up) Jorge Charco; Boris X. Vintimilla; Angel Sappa edit   pdf
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  Title Deep learning based camera pose estimation in multi-view environment Type Conference Article
  Year 2018 Publication 14th IEEE International Conference on Signal Image Technology & Internet Based System Abbreviated Journal  
  Volume Issue Pages  
  Keywords Deep learning; Camera pose estimation; Multiview environment; Siamese architecture  
  Abstract This paper proposes to use a deep learning network architecture for relative camera pose estimation on a multi-view environment. The proposed network is a variant architecture of AlexNet to use as regressor for prediction the relative translation and rotation as output. The proposed approach is trained from
scratch on a large data set that takes as input a pair of imagesfrom the same scene. This new architecture is compared with a previous approach using standard metrics, obtaining better results on the relative camera pose.
 
  Address Las Palmas de Gran Canaria; November 2018  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference SITIS  
  Notes MSIAU; 600.086; 600.130; 600.122 Approved no  
  Call Number Admin @ si @ CVS2018 Serial 3194  
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