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 |