Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Satoru Igarashi"'
Autor:
Shunsuke Kimura, Masashi Miura, Ryosuke Yoshizawa, Yohsuke Nambu, Akira Yumiyama, Satoru Igarashi, Toshishige Hagihara
Publikováno v:
TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN. 17:412-420
Publikováno v:
Japanese Journal of Ornithology. 64:147-160
Autor:
Satoru Igarashi, Shin Matsui, Audrey Sternalski, Mamoru Watanabe, Satoe Kasahara, Keisuke Ueda, Christelle Adam-Guillermin, Kiyomi Yokota
Publikováno v:
Japanese Journal of Ornithology. 64:169-174
Publikováno v:
ITE Transactions on Media Technology and Applications. 2:161-166
Autor:
Shigeru Ueda, Ryo Inoue, Shungo Natsui, Zhengyun Fan, Satoru Igarashi, Tatsuro Ariyama, Tianjun Yang
Publikováno v:
ISIJ International. 50:1406-1412
Since the enlargement of blast furnace inner volume is generally carried out two dimensionally, the diameter of the throat, bosh and hearth increase with the inner volume, while the height is kept approximately constant. Due to these changes, blast f
Autor:
Yohsuke NAMBU, Masashi MIURA, Ryosuke YOSHIZAWA, Toshishige HAGIHARA, Shunsuke KIMURA, Akira YUMIYAMA, Satoru IGARASHI
Publikováno v:
Transactions of the Japan Society of Aeronautical & Space Sciences, Aerospace Technology Japan; 2019, Vol. 17 Issue 4, p412-420, 9p
Publikováno v:
Systems and Computers in Japan. 35:70-80
Publikováno v:
Pattern Recognition. 36:1165-1173
A new method is proposed for robust image registration named Selective Correlation Coefficient in order to search images under ill-conditioned illumination or partial occlusion. A correlation mask-image is generated for selecting pixels of an image b
Publikováno v:
Pattern Recognition. 35:2223-2234
A novel and robust statistic as a similarity measure for robust image registration is proposed. The statistic is named as increment sign correlation because it is based on the average evaluation of incremental tendency of brightness in adjacent pixel
Publikováno v:
Journal of the Japan Society for Precision Engineering. 68:1042-1046
Advanced algorithms are proposed for fast image matching based on two-dimensional orthogonal expansion by marginal eigenvectors for a set of training pictures. The original method has been proved to be efficient by use of the vectors of smaller dimen