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Article type: Cover
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Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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Article type: Index
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Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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Atsushi Nakano, Daisuke Nakayama, Toru Kaneko, Kenjiro T.Miura, Takahi ...
Article type: Article
Session ID: MIP2000-95
Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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When viewing an object in a glass water tank from outside, the image is distorted bacause of refraction on the glass surface. The paper presents a method for determining observation paramaters such as the location and orientation of the glass surface, which are required when applying stereo vision to the 3-dimensional measurement in such a case. The method detects by image processing technique the refrence points in the image of a calibration scale set in a water tank, and determines the observation parameters based on ray cracing analysis. Results of a preliminary experiment to verify the effectiveness of the method is shown.
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Akira GOTO, Toru KANEKO, Kenjiro T.MIURA
Article type: Article
Session ID: MIP2000-96
Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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A stereo vision technique, i which edge detection is used for finding features, is popular when applying robot vision to object recognition. This paper proposes a method for detecting edges efficiently by defining the area of detection and tuning the parameter of a detecting operator, which are realized by a comparison of two images of an object taken almost at the same time, one is with a laser slit pattern illumination and the other is without it.
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Shinya Matsushita, Yoshiki Mori, Toru Kaneko, Kenjiro T.Miura
Article type: Article
Session ID: MIP2000-97
Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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Synthesizing techniques for pictures and video images are employed when making magazines, promotion videos, movies and etc. There is a method called chroma key in which human objects are segmented from a uniform color background and superimposed with anther background. But this method has a problem that if one's clothes and the background have the same color, the former is regarded as the latter. In this report, we propose a method that makes it possible to segment objects from a background precisely when objects have the same color as the background, by using of two-tone stripe background. A result of preliminary experiment is shown.
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Shin-ichi MURAKAMI
Article type: Article
Session ID: MIP2000-98
Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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This paper reports the general aspects of "International Conference on Pattern Recognition 2000". ICPR is the world largest conference on pattern recognition fields and is held every two years since 1972. ICPR 2000 is the 15-th conference in the history of ICPR and it was held at Barcelona from September 4-th through 7-th in 2000. More than 1200 researchers and engineers from over 50 countries participated in this conference and nearly 1000 papers were presented.
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Yasuhiro TANAKA, Yoshito MEKADA, Masao KASUGA, Hiroharu YOSHIKAWA
Article type: Article
Session ID: MIP2000-99
Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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In recent years, it has become necessary to devalop a facial discrimination system. We have developed a feature that corresponds to personal facial characteristic by using the normal vectors of approximated plane of small areas. In this paper, we improve this feature by normalizing faces using frontview and sideveiw of face. The result showed that the accuracy of personal identification was progressed using method of normalized faces than using previous methods.
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Daisuke SASAKI, Yoshito MEKADA, Masao KASUGA, Nobuo UEDA
Article type: Article
Session ID: MIP2000-100
Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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A face includes many nonverbal and personal informations concerned with communications. It is important for us to handle a face with engineering treatment by apply to man-machine interface thinking over one's emotion or intention. In this paper, we propose a method of facial classification as simple as possible. We defined "movement patterns" based on the charactaristic of facial parts during facial expressions. We analyzed these movements, and defined the patterns of facial deformation. And, we made emotion templates for discrimination of facial expressions using defined patterns.
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Article type: Appendix
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Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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Article type: Cover
Pages
Cover2-
Published: October 20, 2000
Released on J-STAGE: June 23, 2017
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