Title :
Binary similarity measure based on Moire patterns
Author :
Hadi, Setiawan ; Pochec, Przemyslaw
Author_Institution :
Dept. of Math., Padjadjaran Univ., Bandung, Indonesia
Abstract :
Computing similarity measure between images is a basic task required for image classification and matching. The technique proposed explores the Moire phenomenon for determining the similarity measure for two images. When two similar images are superimposed the concentric Moire rings point to the location of the fixed point. A Hough based technique is used for circle detection. The algorithm is successfully applied to the face recognition problem
Keywords :
Hough transforms; face recognition; image classification; image matching; moire fringes; Hough based technique; Moire patterns; Moire phenomenon; algorithm; binary similarity measure; circle detection; concentric Moire rings; face recognition problem; image classification; image matching; Computer science; Computer vision; Face recognition; Image analysis; Image classification; Image resolution; Mathematics; Pattern analysis; Pattern matching; Rendering (computer graphics);
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-3143-5
DOI :
10.1109/CCECE.1996.548296
