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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 41 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IMQ, HIP 2018-07-20
13:30
Hokkaido Sapporo City University, Satellite Campus [Invited Lecture] Inpainting based on low-dimensional image approximation and its applications
Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) IMQ2018-5 HIP2018-32
This paper introduces inpainting based on low-dimensional image approximation and its applications. Specifically, low-di... [more] IMQ2018-5 HIP2018-32
pp.1-4
NLP 2017-07-13
15:45
Okinawa Miyako Island Marine Terminal A Study of Image Inpainting Methods by using SD-CNN
Ryohei Mizutani, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Sathit Prasomphan (King Mongkut Univ. of Tech. North Bangkok), Mamoru Tanaka (Sophia Univ.) NLP2017-37
In recent years, the practical use of digital images have been progressed because of the popularization and advance of i... [more] NLP2017-37
pp.53-57
PRMU, CNR 2016-02-22
15:00
Fukuoka   Iteratively applying image inpainting with automatic detection of failure regions using a convolutional neural network
Takahiro Tanaka, Norihiko Kawai, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya (NAIST) PRMU2015-160 CNR2015-61
Image inpainting is a method that fills in missing regions with plausible textures in an image to remove undesired objec... [more] PRMU2015-160 CNR2015-61
pp.133-138
MBE, NC
(Joint)
2015-12-19
13:50
Aichi Nagoya Institute of Technology The reconstruction of the missing pixels in the digital image using unmissing pixels and belief propagation
Ryuichi Mashiba, Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ.) NC2015-48
A digital image inpainting is an image processing method that reconstructs missing or degraded pixels in the image by us... [more] NC2015-48
pp.13-18
IMQ 2015-11-27
14:40
Kyoto   An image coding method based on a foreground and a background
Yuta Miyayama, Yasuhiro Inazumi, Keiji Shibata, Yuukou Horita (Univ. Toyama) IMQ2015-21
Digital images are continuosly requiring increased storage space due to increased resolution in the recent years. Becaus... [more] IMQ2015-21
pp.5-8
IE, ITE-ME, ITE-AIT [detail] 2015-11-12
13:00
Kumamoto   Local image inpainting with high frequency resolution analysis
Yuya Inuzuka, Kazuki Sakashita, Masaya Hasegawa, Shigeki Hirobayashi, Tadanobu Misawa (Toyama Univ.), Hiroyuki Shioya (Muroran Institute of Tech.) IE2015-73
We present a new technique for image restoration. Although several algorithms can modify images in an undetectable manne... [more] IE2015-73
pp.1-5
SIP, EA, SP 2015-03-03
09:00
Okinawa   [Poster Presentation] MSIST-based Image Restoration with Non-separable Oversampled Lapped Transforms
Sho Wakasugi, Shogo Muramatsu (Niigata Univ) EA2014-90 SIP2014-131 SP2014-153
This work proposes, an image restoration technique with modified subbsnd-adaptive iterative shrinkage thresholding (MSIS... [more] EA2014-90 SIP2014-131 SP2014-153
pp.91-96
SIP, EA, SP 2015-03-03
09:00
Okinawa   [Poster Presentation] Fast image inpainting using Chebyshev polynomial approximation
Masaki Onuki (TUAT), Shunsuke Ono (Tokyo Tech.), Keiichiro Shirai (Shinshu Univ.), Yuichi Tanaka (TUAT) EA2014-99 SIP2014-140 SP2014-162
In this report, we propose a method of singular value filtering using Chebyshev polynomial approximation.Recent image pr... [more] EA2014-99 SIP2014-140 SP2014-162
pp.145-150
PRMU, CNR 2014-02-14
15:00
Fukuoka   Recovering Missing Shapes and Textures by Fitting Primitives to Point Cloud
Satoshi Nakao, Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya (NAIST) PRMU2013-162 CNR2013-70
Recently, Augmented Reality (AR) or Virtual Reality (VR)-based applications that enable us to view virtualized real obje... [more] PRMU2013-162 CNR2013-70
pp.165-170
PRMU 2013-03-14
10:45
Tokyo   Character Recognition
Kohei Inai, Yaokai Feng, Seiichi Uchida (Kyushu Univ.) PRMU2012-186
(To be available after the conference date) [more] PRMU2012-186
pp.37-42
EA, EMM 2012-11-17
11:45
Oita OITA Univ. Scene Character Processing
Kohei Inai, Yaokai Feng, Seiichi Uchida (Kyushu Univ.) EA2012-102 EMM2012-84
(To be available after the conference date) [more] EA2012-102 EMM2012-84
pp.123-128
MBE, NC
(Joint)
2012-11-17
14:55
Miyagi Tohoku University Design of probabilistic image inpainting filters using Gaussian graphial models
Tomotaka Kitagawa, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2012-71
A probabilistic image inpainting lter is an image processing lter that reconstructs lost or deteriorated pixels of ima... [more] NC2012-71
pp.57-62
EA, SP, SIP 2012-05-24
10:45
Osaka Osaka Univ. Nakanoshima Center Exemplar-Based Image Inpainting with Outlier Rejection
Hiroaki Misaki (Osaka Univ.), Makoto Nakashizuka (CIT), Youji Iiguni (Osaka Univ.) EA2012-4 SIP2012-4 SP2012-4
Image inpainting is a method for generating a background of an object which is removed from an image. In the exemplar-ba... [more] EA2012-4 SIP2012-4 SP2012-4
pp.19-24
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2012-02-20
11:00
Hokkaido Hokkaido Univ. Marker Hiding Based on Image Inpainting Considering Shade and Shadow in Augmented Reality
Masayoshi Yamasaki, Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya (NAIST)
This report proposes a new method for diminished reality which removes a marker from image sequences and inpaints the ma... [more]
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. Gaussian FoE model with correlations among color components
Ryuta Murayama, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) IBISML2011-58
Color images consist of some color components such as RGB, YCbCr. They have been often treated independently in usual im... [more] IBISML2011-58
pp.105-111
EA, SIP, SP 2011-05-12
13:25
Osaka Ritsumeikan Univ. Image Inpainting Based on Rank Minimization
Tomohiro Takahashi (TUS), Katsumi Konishi (Kogakuin Univ), Toshihiro Furukawa (TUS) EA2011-12 SIP2011-12 SP2011-12
This paper proposes a rank minimization based approach to a novel image painting.
We utilize the 2-D autoregressive (AR... [more]
EA2011-12 SIP2011-12 SP2011-12
pp.67-72
PRMU 2011-03-11
10:40
Ibaraki   Image Inpainting Based on Energy Minimization Considering Brightness Change, Geometric Transform and Similar Pattern Position
Ryo Miyamoto, Norihiko Kawai, Kazumasa Yamazawa, Tomokazu Sato, Naokazu Yokoya (NAIST) PRMU2010-276
Image inpainting techniques have been widely developed to remove undesired objects in images such as damaged portions of... [more] PRMU2010-276
pp.229-234
PRMU 2009-06-19
11:30
Hokkaido Hokkaido Univ. Image interpolation based on dissimilarity minimizing for view-dependent texture mapping
Ryo Furukawa (Hiroshima City Univ.), Junnya Hiramatsu (Fujitsu Ltd.), Naoki Asada (Hiroshima City Univ.) PRMU2009-55
View-dependent texture mapping is capturing images of materials of the
real world from a multiple viewpoints and textu... [more]
PRMU2009-55
pp.95-100
PRMU 2009-03-13
10:00
Miyagi Tohoku Institute of Technology Generation of Omnidirectional Video without Invisible Area Based on Image Inpainting
Kotaro Machikita, Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya (NAIST) PRMU2008-245
Omnidirectional cameras cannot usually capture the entire direction of view due to the blind side. Thus, such an invisib... [more] PRMU2008-245
pp.33-38
SIS 2009-03-05
10:40
Tokyo   A study on parameter estimation for mixed noise removal using enhanced TV filters
Sho Miura, Hiroyuki Tsuji, Tomoaki Kimura, Shinji Tokumasu (Kanagawa Inst. of Tech.)
The enhanced TV filter is a nonlinear filter that is able to remove mixed noise composed of Gaussian and impulsive noise... [more] SIS2008-71
pp.1-6
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