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Author (up) He, Lulu; Wang, Sen.; Pappas, Thrasyvoulos N. doi  isbn
openurl 
  Title 3D surface registration using Z-SIFT Type Conference Article
  Year 2011 Publication Image Processing (ICIP), 2011 18th IEEE International Conference on Abbreviated Journal  
  Volume Issue Pages 1985-1988  
  Keywords 2D feature weighted iterative closest point algorithm; 3D scanners; 3D surface registration; Z-Sift; coarse alignment; depth information enhanced SIFT features; multiple view alignment; image registration; iterative methods  
  Abstract We present a Z-SIFT based 3D surface registration algorithm that utilizes the depth information enhanced SIFT features to make initial alignment and the 2D feature weighted Iterative Closest Point (ICP) algorithm to realize accurate registration. The combination of SIFT features and depth information extracts faithful corresponding points between the 2D images and provides good coarse alignment for the 3D surfaces. The 2D feature weighted ICP also outperforms the naive ICP algorithm in terms of speed and accuracy. We use this approach in the context of multiple view alignment for 3D scanners. Experimental results with real objects and human faces indicate the effectiveness of the proposed approach.  
  Address  
  Corporate Author Thesis  
  Publisher IEEE Place of Publication Brussels, Belgium Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1522-4880 ISBN 978-1-4577-1304-0 Medium  
  Area Expedition Conference ICIP'11  
  Notes Approved yes  
  Call Number UCF @ kdamkjer @ He_2011 Serial 35  
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