A Fast Template Matching Method With Rotation Invariance by Combining the Circular Projection Transform Process and Bounded Partial Correlation

作者：Lee Wen Chia^*; Chen Chin Hsing

来源：IEEE Signal Processing Letters, 2012, 19(11): 737-740.

DOI：10.1109/LSP.2012.2212010

• Bounded correlation
• circular projection
• rotation invariance
• template matching

This letter proposes an algorithm for rotation invariance template matching by combining the circular projection transformation (CPT) and the bounded partial correlation (BPC). CPT is a method that involves rotation invariance for template matching, but calculating the CPT values from the spatial domain is time-consuming. We use the frequency domain approach to reduce the computation time of CPT and the BPC to rapidly skip the positions that dissimilate to a template image. Experiments demonstrated that the proposed algorithm can considerably accelerate the template matching process when scene rotations are present.

• 出版日期2012-11