作者：
Aoki, YIijima, TMemberJapan Advanced Institute of Science and Technology
Hokuriku Ishikawa Japan 923 Yasubim Aoki:graduated from the University of Kanazawa Faculty of Engineering
Department of Electrical Engineering and Information Science in 1992 and received his Master's degree in 1994 from the Japan Advanced Institute of Science and Technology Hokuriku Department of Information Science where he is currently in the doctoral program engaged in research on pattern recognition. Honorary MemberTaizo lijima:graduatedwith a B.E. degree from the Tokyo Institute of Technology in 1948 and received his Ph.D. degree later. He joined the Electro-Technical Laboratories in 1948 and
since then has been involved in research on electromagnetic theory and pattern recognition theory image processing voice recognition and research and development of OCR. After serving as the head of Iijima Special Research Laboratories he became Professor at the Tokyo Institute of Technology in 1986. He because Professor Emeritus of that institute in 1986. He became Professor at Tokyo Engineering University and Professor Emeritus there in 1991. In 1991 he became Professor at the Japan Advanced Institute of Science and Technology and was appointed Vice President of the institute in 1992. He served successively as editor examiner secretary of general affairs inspector counsel committee-head of pattern recognition and specialized studies head of Tokyo chapter and vice president of this institute. In 1991 he became Honorary Member. He received the Paper Award from the Institute four times and the Literary Works Award once. He received the Achievement Award and the Distinguished Service Award in 1976 and 1989 respectively. He received the Purple Ribbon Medal from the Emperor in 1989.
Theoretical studies on Iijima's ''Theory of patternrecognition,'' which is known as a method of multiple similarity, have shown clearly that there are situations when it is difficult to determine ...
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Theoretical studies on Iijima's ''Theory of patternrecognition,'' which is known as a method of multiple similarity, have shown clearly that there are situations when it is difficult to determine the viewpoint and visual field, important parameters to introduce topological aspects into the pattern space, observing a figure itself. To cope with this problem, this paper proposes transforming the observed image from a figure f(r) to a second-order differential image rho(r), called ''figure source.'' The aim is to reconstruct the theory in such a way as to enable the application of similarity evaluation methods as in the conventional case, without compromising the current theory, and all the necessary proofs are given. In this paper, the figure source equation as well as rules representing its properties are developed, and several related physical quantities are redefined.
To solve the heterogeneous image scene matching problem, a non-linear pre-processing method for the original images before intensity-based correlation is proposed. The result shows that the proper matching probability...
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To solve the heterogeneous image scene matching problem, a non-linear pre-processing method for the original images before intensity-based correlation is proposed. The result shows that the proper matching probability is raised greatly. Especially for the low S/N image pairs, the effect is more remarkable.
A method of object recognition is proposed based on Dempster-Shafer theory (DS theory), which can treat the ambiguity of image data. A model based object recognition technique based on an aspect imaging method will al...
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A method of object recognition is proposed based on Dempster-Shafer theory (DS theory), which can treat the ambiguity of image data. A model based object recognition technique based on an aspect imaging method will also be proposed. The aspect imaging method recognizes a similar aspect object by comparing an input image with an aspect image of the model database. Our proposed method calculates the degree of similarity based on the DS theory instead of Bayes theory, represents an uncertainty factor of similarity as a basic probability of DS theory, and assigns a basic probability of information to be decided. The experimental results show that the proposed method is both more robust and more reliable.
In vivo diffusion tensor imaging (DTI) is a promising technique to investigate noninvasively the fiber structures of the in vivo human heart. However, signal loss due to motions remains a persistent problem in in vivo...
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A theory of natural observation methods was originally formulated for two complementary systems: neighboring type and equilibrium type. This paper introduces a new system, normal-type system, that is different from th...
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A theory of natural observation methods was originally formulated for two complementary systems: neighboring type and equilibrium type. This paper introduces a new system, normal-type system, that is different from the forementioned two types. One characteristic feature of the normal-type natural observation method is its ability to reconstruct an original waveform from the sum of a finite number of observation values. The natural observation theory of a normal type evolves naturally under the condition that a waveform and its power component can be expressed in the sum form. These meanings are discussed by comparing a frequency response of the normal-type natural observation transform with that of a conventional filter bank. Furthermore, a criterion for determining observation parameters in order to realize the natural observation of normal type under a given tolerance of error is described. It is believed that the proposed theory offers new insights into systematization of the natural observation theory.
The continuous development and extensive use of CT in medical practice has raised a public concern over the associated radiation dose to the patient. Reducing the radiation dose may lead to increased noise and artifac...
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A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not ...
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A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By using problem-specific chromosome structure and genetic operators, the routes are generated in real time,with different mission constraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving angle and route distance constraint taken into account.
Research and development of electroencephalogram (EEG) based brain-computer interfaces (BCIs) have advanced rapidly, partly due to deeper understanding of the brain and wide adoption of sophisticated machine learning ...
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