Global Volumetric Image Registration Using Local Linear Property of Image Manifold

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• 作者：Hayato Itoh (15)
  Atsushi Imiya (16)
  Tomoya Sakai (17)
  
  15. Graduate School of Advanced Integration Science ; Chiba University ; Chiba ; Japan
  16. Institute of Management and Information Technologies ; Chiba University ; Yayoicho 1-33 ; Inage-ku ; Chiba ; 263-8522 ; Japan
  17. Graduate School of Engineering ; Nagasaki University ; Bunkyo-cho 1-14 ; Nagasaki ; 852-8521 ; Japan
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9008
• 期：1
• 页码：238-253
• 全文大小：1,473 KB
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• 作者单位：Computer Vision - ACCV 2014 Workshops
• 丛书名：978-3-319-16627-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

We propose a three-dimensional global image registration method for a sparse dictionary. To achieve robust and accurate registration, which based on template matching, a large number of transformed images are prepared and stored in the dictionary. To reduce the spatial complexity of this image dictionary, we introduce a method of generating a new template image from a collection of images stored in the image dictionary. This generated template image allows us to achieve accurate image registration even if the population of the image dictionary is relatively small and the template has a small pattern perturbation. To further reduce the complexity, we compute a matching process in a low-dimensional Euclidean space projected by a random projection.