Title
Relaxing the Triangle Inequality in Pattern Matching
Abstract
Any notion of “closeness” in pattern matching should have the property that if A is close to B, and B is close to C, then A is close to C.Traditionally, this property is attained because ofthe triangle inequality(d(A, C) ≤ d(A, B) + d(B, C), where d represents a notion ofdistance). However, the full power of the triangle inequalityis not needed for this property to hold.Instead, a “relaxed triangle inequality” suffices, of the formd(A, C) ≤ c(d(A, B) + d(B, C)), where c is a constant that is not too large. In this paper, we show that one of the measures used fordistances between shapes in (an experimental version of) IBM‘s QBIC1(“Query by Image Content”) system (Niblack et al., 1993)satisfies a relaxed triangle inequality,although it does not satisfy the triangle inequality.
Year
DOI
Venue
1998
10.1023/A:1008023416823
International Journal of Computer Vision
Keywords
Field
DocType
pattern matching,shape matching,triangle inequality,distance measure,image database
Distance measurement,Combinatorics,Minkowski inequality,Image content,Integer triangle,Triangle inequality,Image database,Pattern matching,Mathematics
Journal
Volume
Issue
ISSN
30
3
1573-1405
Citations 
PageRank 
References 
28
9.18
6
Authors
2
Name
Order
Citations
PageRank
Ronald Fagin188082643.66
Larry J. Stockmeyer243331077.31