Presents an efficient method which uses two neighboring frames in image sequences for target identification. Using statistical information about the background noise and candidate regions' noise after background r...
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ISBN:
(纸本)0780342534
Presents an efficient method which uses two neighboring frames in image sequences for target identification. Using statistical information about the background noise and candidate regions' noise after background registration, we can determine those candidate regions that have the same or similar noise distributions to the background's which should be background regions, and those candidate regions that have different noise distributions from the background's which should be the target region. In particular, when there is only one target in the image, we can simply determine that the candidate region whose noise distribution is most different from the background's is the true target.
Matching confidence is an important element for evaluating image matching quality. A method is presented which uses the technique of tests of hypotheses to determine image matching confidence under a certain testing l...
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ISBN:
(纸本)0780340531
Matching confidence is an important element for evaluating image matching quality. A method is presented which uses the technique of tests of hypotheses to determine image matching confidence under a certain testing level. The authors use similarity measurement values to be the statistics. Experimental results with large real images prove the effectiveness of the method to determine image matching confidence.
Reasoning about action is an important aspect of common sense reasoning and planning. It gives rise to three classical problems: the frame problem,the qualification problem and the ramification problem. Ekisting appro...
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Reasoning about action is an important aspect of common sense reasoning and planning. It gives rise to three classical problems: the frame problem,the qualification problem and the ramification problem. Ekisting approaches cannot deal with these problems efficiently. This paper presents a new method which uses the stratified ATMS for reasoning about action to overcome the limitations of these approaches.
Given a smooth surface that is z-axis symmetric, illuminated in an arbitrary direction and fully contained within the field of view, it is proven that shape-from-shading is uniquely determined by using a polar coordin...
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Given a smooth surface that is z-axis symmetric, illuminated in an arbitrary direction and fully contained within the field of view, it is proven that shape-from-shading is uniquely determined by using a polar coordinate system and a Fourier expansion.
In this paper we discuss using the stratified ATMS to realize explanation-based learning. As the stratified ATMS can record and maintain the reasonings for beliefs efficiently and can deal with nonmonotonic reasoning,...
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In this paper we discuss using the stratified ATMS to realize explanation-based learning. As the stratified ATMS can record and maintain the reasonings for beliefs efficiently and can deal with nonmonotonic reasoning, so the ATMS-based EBL system can improve the efficiency of explanation-based learning, deal with multiple explanation problems in learning from imperfect theories by prioritized reasoning and multiple example verification and can give biases for induction in integrated learning. Copyright (C) 1996 Elsevier Science Ltd
In this paper, a set of shape features which was based on the special characteristics of Chinese signatures was proposed for off-line Chinese signature verification. Another set of high-pressure features was also deve...
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ISBN:
(纸本)0780332598
In this paper, a set of shape features which was based on the special characteristics of Chinese signatures was proposed for off-line Chinese signature verification. Another set of high-pressure features was also developed to extract timing and dynamic information indirectly from the signature image. A database of 100 genuine signatures and 50 simple forgeries was used to investigate the effectiveness of these two sets. Though shape features and high-pressure features had an error rate of 6.5% and 20.0% respectively, the collective use of these two sets reduced the error rate of simple forgery verification to 2.5%. It was concluded that combined use of static and dynamic information is an effective way for off-line Chinese signature verification.
The main concern in imageprocessing is computation cost. Markov random fields (MRF) based algorithms particularly require a significant computation cost. Most of implementations of this kind of algorithms are made on...
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ISBN:
(纸本)0780336291
The main concern in imageprocessing is computation cost. Markov random fields (MRF) based algorithms particularly require a significant computation cost. Most of implementations of this kind of algorithms are made on parallel machines. This paper investigates an original solution for real time implementation of a robust MRF-based motion detection algorithm. A PC board, based on a pipeline architecture using a single powerfull DSP and FPGA components, is developed. The algorithm and the board are described. A processing rate of 15 images per second is achieved, showing the validity of this approach.
Recently, much attention has been devoted to image-based scene representations. They allow to construct an arbitrary view of a 3D scene by the interpolation (transfer) from a sparse set of real 2-D (reference) images,...
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A caesium magnetometer attached to a handcart enables accurate magnetic prospection of large areas within short times. The roughness of the earth's surface, minor differences in handling the handcart and a lot of ...
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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.
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