- Liwei Wang, Yan Zhang, Jufu Feng
*. On the Euclidean Distance of Images*(TMI, August 2005) - IMage Euclidean Distance (IMED): Robust to small perturbations
- Terminology in the paper is very similar to ours
- Similar figures that show degradation and measures of distance
- Context is Eigenfaces and face recognition using the Face Recognition Technology (FERET) database and digit classification
- Compete with tangent distance and Hausdorff distance
- Fast (simple to compute), maybe obeys the triangle inequality
- Efficiently embedded in powerful image recognition techniques (SVM, LDA, PCA, etc.)
- Standardizing Transform (ST) - transform domain smoothing
- Smoothing noiseless images can increase recognition rate
- The method is said to be efficient, but no evidence is included

Roy Schestowitz 平成17年6月21日