Linear Scale-Space has First been Proposed in Japan |
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Authors: | Joachim Weickert Seiji Ishikawa Atsushi Imiya |
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Affiliation: | (1) Department of Computer Science, University of Copenhagen, Universitetsparken 1, 2100 Copenhagen, Denmark;(2) Department of Control Engineering, Kyushu Institute of Technology, Sensuicho 1-1, Tobata, Kitakyushu, 804, Japan;(3) Department of Information and Computer Sciences, Faculty of Engineering, Chiba University, 1-33 Yayoi-Cho, Inage-Ku, 263 Chiba, Japan. imiya@ics.tj.chiba-u.ac.jp |
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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. |
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Keywords: | scale-space axiomatics deep structure optical character recognition (OCR) |
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