Adaptive Principle Component Analysis to Improve Scale Invariant Feature Transform Matching for Face Recognition Applications

  • Isra’a Abdul-Ameer Abdul-Jabbar
  • Published 2016
Image matching using feature extraction is an important issue in computer vision tasks. The main drawback of matching process is the bottleneck problem that rapidly appeared when the number of features increased. This paper produced an adaptive approach to improve Scale Invariant Feature Transform (SIFT) matching. The main idea is to increase the number of… CONTINUE READING