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 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2019-03-17
Tokyo   Lighting Method for Capturing Fingerprint-of-Things on Diffuse Surface
Yuta Kudo, Toru Takahashi, Kengo Makino, Rui Ishiyama (NEC) BioX2018-46 PRMU2018-150
Recently a tag/marking-less ID method “Fingerprint of Things (FoT)” has been proposed. It can identify each individual o... [more] BioX2018-46 PRMU2018-150
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
Fukuoka   An initial search method for region-based image matching
Yukihiko Yamashita (Tokyo Tech), Toru Wakahara (Hosei University) PRMU2018-53 IBISML2018-30
GAT/GPT (Global Affine Transform/Global Projection Transform) correlation methods for image matching that is one of the ... [more] PRMU2018-53 IBISML2018-30
PRMU, BioX 2018-03-18
Tokyo   A Study of Fast Image Matching Method Under Translation, Scale and Rotation
Toru Takahashi, Kengo Makino, Yuta Kudo, Rui Ishiyama (NEC) BioX2017-42 PRMU2017-178
This paper presents a fast pattern matching method which covers image translation, rotation and scaling. Pattern matchin... [more] BioX2017-42 PRMU2017-178
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-20
Hokkaido Hokkaido Univ. Speed-up Techniques of Pictogram Matching using Local Shape Descriptor
Kurumi Kaminishi, Terumasa Aoki (Tohoku Univ.)
Pictogram, which is a simple picture-based symbol, is widely used to indicate important facilities (such as “rest room”)... [more]
(Joint) [detail]
Osaka Ritsumeikan University, Osaka Ibaraki Campus Keypoint Detection based on Learning to Rank for Robust Image Matching under Resolution Variation
Satoshi Yoshikawa, Keisuke Kameyama (Univ. of Tsukuba) CPM2016-85 ICD2016-46 IE2016-80
The image matching by keypoint selection from images is used in various situations in computer vision.
Among them, Sca... [more]
CPM2016-85 ICD2016-46 IE2016-80
PRMU 2013-12-12
Mie   GPT Correlation for 2D Projection Transformation Invariant Image Matching
Toru Wakahara (Hosei Univ.), Yukihiko Yamashita (Tokyo Inst. of Tech.) PRMU2013-76
This paper proposes a new technique of 2D projection transformation invariant image matching, GPT (Global Projection Tra... [more] PRMU2013-76
NLP 2013-05-27
Fukuoka Event hall, Central Library, Fukuoka University A study on the image feature extraction method by the IC-PCNN
Yuta Ishida, Hiroaki Kurokawa (Tokyo Univ of Tech.) NLP2013-15
The Pulse Coupled Neural Network(PCNN) is a neural network model that consists of spiking neurons.
The PCNN has been a... [more]
Toyama Toyama Prefectural University [Poster Presentation] Affine Invariant Feature Quantity Descriptions using Log-Polar Transform
Toma Kawa, Hironari Matsuda, Takayuki Nakata (Toyama Prefectural Univ.)
Matching system of image are used by Image processing, Pattern recognition Object recognition, etc. It does not have aff... [more]
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2013-02-18
Hokkaido Hokkaido Univ. Localization Using Mobile Phone and Image Matching -- Improving Precision by Combination of Two Types of Image Matching Method --
Hiroshi Ito, Atsushi Koike, Hitomi Murakami (Seikei Univ.) ITS2012-37 IE2012-117
We propose a new localization technique using mobile phone. The suggested technique performs matching of still image and... [more] ITS2012-37 IE2012-117
NLP 2011-07-01
Hokkaido Shari-cho Kohminkan: Yme-hall Shiretoko The image matching using temporal firing characteristics of Pulse Coupled Neural Network
Masato Yonekawa, Hiroaki Kurokawa (Tokyo Univ of Tech) NLP2011-38
The image recognition using Pulse Coupled Neural Network(PCNN) was proposed.PCNN for image recognition need to adjust th... [more] NLP2011-38
2009-10-16 Toyama Toyama International Conference Center A study about the position estimate by the image matching
Yutaka Matsui, Takeshi Iwamoto, Michito Matsumoto (Toyama Prefectural Univ.)
When the visually handicapped goes out alone, there is the case that they lose them way and they don’t understand where ... [more]
VLD, CAS, SIP 2008-06-26
Hokkaido Hokkaido Univ. Phase Scrambled Image and Its Application to Image Matching
Izumi Ito, Hitoshi Kiya (Tokyo Metropolitan Univ) CAS2008-7 VLD2008-20 SIP2008-41
We propose a phase-scrambled image and an image matching method between phase-scrambled images. This scrambling distorts... [more] CAS2008-7 VLD2008-20 SIP2008-41
VLD, CAS, SIP 2008-06-26
Hokkaido Hokkaido Univ. Image Matching Based on Phase Information of Intensity Gradient Binary Images
Eisuke Nakamura, Izumi Ito, Hitoshi Kiya (Tokyo Metropolitan Univ) CAS2008-8 VLD2008-21 SIP2008-42
We consider an image matching method based on the phase information of intensity gradient binary images. The intensity g... [more] CAS2008-8 VLD2008-21 SIP2008-42
PRMU, DE 2008-06-19
Hokkaido Otaru-Shimin-Kaikan Shape Segmentation Based on Learning of Deformation Models
Ruiqi Guo, Shinichiro Omachi, Hirotomo Aso (Tohoku Univ.) DE2008-1 PRMU2008-19
In this paper, we propose a novel framework of shape segmentation based on the learning of deformation models of multipl... [more] DE2008-1 PRMU2008-19
ITE-ME, ITS, IE, ITE-HI, ITE-AIT 2007-02-22
Hokkaido Hokkaido University Image Matching Using 1-D DCT Sign Only Correlation
Izumi Ito, Hitoshi Kiya (Tokyo Metro. Univ.)
1D-DCT sign-only correlation applied to images is proposed. Images are transformed to 1D sequences by raster scan. The e... [more] ITS2006-68 IE2006-253
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