ISSN:
1573-7683
Keywords:
scale-space
;
axiomatics
;
deep structure
;
optical character recognition (OCR)
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract Linear scale-space is considered to be a modern bottom-up tool in computer vision. The American and European vision community, however, is unaware of the fact that it has already been axiomatically derived in 1959 in a Japanese paper by Taizo Iijima. This result formed the starting point of vast linear scale-space research in Japan ranging from various axiomatic derivations over deep structure analysis to applications to optical character recognition. Since the outcomes of these activities are unknown to western scale-space researchers, we give an overview of the contribution to the development of linear scale-space theories and analyses. In particular, we review four Japanese axiomatic approaches that substantiate linear scale-space theories proposed between 1959 and 1981. By juxtaposing them to ten American or European axiomatics, we present an overview of the state-of-the-art in Gaussian scale-space axiomatics. Furthermore, we show that many techniques for analysing linear scale-space have also been pioneered by Japanese researchers.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1008344623873
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