Fusion of Multi-view Multi-exposure Images with Delaunay Triangulation

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• 关键词：Multi ; view ; Multi ; exposure ; Delaunay triangulation ; Image registration ; Image fusion
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9948
• 期：1
• 页码：682-689
• 全文大小：992 KB
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• 作者单位：Hanyi Yu (19)
  Yue Zhou (19)
  
  19. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China
  
• 丛书名：Neural Information Processing
• ISBN：978-3-319-46672-9
• 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
• 卷排序：9948

文摘

In this paper, we present a completely automatic method for multi-view multi-exposure image fusion. The technique adopts the normalized cross-correlation (NCC) as the measurement of the similarity of interest points. With the matched feature points, we divide images into a set of triangles by Delaunay triangulation. Then we apply affine transformation to each matched triangle pairs respectively to get the registration of multi-view images. After images aligned, we partition the image domain into uniformed regions and select the images that provides the most information with certain blocks. The selected images are fused together under monotonically blending functions.