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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX 2017-10-12
15:35		 Okinawa Nobumoto Ohama Memorial Hall Performance Evaluation of Gait Recognition by Metric Learning using Joint Intensity Histogram
Yushiro Kashimoto, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2017-28		 We evaluate the performance of gait recognition algorithm using metric learning based on log-likelihood ratio of joint i... [more] BioX2017-28
pp.17-22
PRMU, BioX 2017-03-20
10:00		 Aichi   Robust Gait Recognition for Carrying-Status by SVM-based Metric Learning using Joint Intensity Histogram
Atsuyuki Suzuki, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2016-37 PRMU2016-200		 This paper describes a method of joint intensity metric learning to improve the robustness of gait recognition under car... [more] BioX2016-37 PRMU2016-200
pp.23-28
SIS 2017-03-02
15:40		 Kanagawa Kanagawa Inst. Tech. Yokohama Office Contrast Enhancement Method Based on Smoothed Joint Distribution of Saturation and Value Components
Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2016-52		 A histogram equalization (HE) is widely used for image contrast enhancement. In many cases, HE is applied to saturation ... [more] SIS2016-52
pp.59-64
MI 2016-01-20
09:56		 Okinawa Bunka Tenbusu Kan Automated liver segmentation from 3D MRI without parameter tuning for imaging condition
Yuto Masaki, Shunta Hirayama, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-114		 The automated segmentation of liver from MRI is useful for computer-aided diagnosis system to liver fibrosis.
Several p... [more]		 MI2015-114
pp.199-204
IT, ISEC, WBS 2012-03-01
10:55		 Kanagawa   Super-resolution using information-theoretic priori information of image histogram
Shimpei Tanemori, Hiroyuki Kudo (Tsukuba Univ.) IT2011-57 ISEC2011-84 WBS2011-58		 Image super-resolution techniques aim to reconstruct a high-resolution image from low-resolution ones. Conventional met... [more] IT2011-57 ISEC2011-84 WBS2011-58
pp.73-78
PRMU, IE 2008-03-10
09:30		 Ishikawa   Extraction of Object Regions Using Shape Map and Local Features
Koji Imaeda (Nagoya Univ.), Miyako Baba, Nobuyuki Shiraki, Akihiro Watanabe (Toyota Central R&D Labs.), Yasushi Hirano, Shoji Kajita, Kenji Mase (Nagoya Univ.) IE2007-265 PRMU2007-249		 In this paper, a novel method for extraction of a precise object region from a given rough initial region is proposed. T... [more] IE2007-265 PRMU2007-249
pp.23-28
 Results 1 - 6 of 6  /   
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