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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2021-12-16
15:10
Online Online Neural Network-based Local Feature Descriptors for Matching Excavated Mokkan Fragments of Various Sizes
Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) PRMU2021-33
This paper presents a method to predict whether two excavated Mokkan fragments of various sizes are from the same tablet... [more] PRMU2021-33
pp.51-56
BioX, CNR 2021-03-02
15:30
Online Online Visual place recognition from eye reflection
Yuki Ohshima, Kyosuke Maeda, Yusuke Edamoto, Atsushi Nakazawa (Kyoto Univ.) BioX2020-48 CNR2020-21
The cornea in the human eye reflects incoming environmental light, which means we can obtain information about the surro... [more] BioX2020-48 CNR2020-21
pp.44-49
PRMU, BioX 2019-03-17
10:00
Tokyo   A Person Re-Identification Method and Top-View System with Privacy Protection
Peng Li, Kouichi Oku, Haiyuan Wu (Wakayama Univ.) BioX2018-33 PRMU2018-137
In this paper, we propose a novel feature descriptor called Color Cumulative Energy (CCE) that be can used for extractin... [more] BioX2018-33 PRMU2018-137
pp.25-30
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-20
15:00
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]
PRMU, CNR 2017-02-19
14:10
Hokkaido   More Convolution Filters for Better Image Retrieval
Longjiao Zhao, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-194 CNR2016-61
Recently, a lot of works have shown the advantages of utilizing the deep descriptor on image retrieval,which uses the fe... [more] PRMU2016-194 CNR2016-61
pp.211-212
ITS, IEE-ITS 2016-03-10
11:20
Kyoto Kyoto Univ. Robust Multi-directional Bicycle Recognition under Pose Variation using Stereo Vision
Kousuke Matsushima, Kenta Fukushima (NIT, Kurume College), Masahiro Iwahashi (NUT), Keiichi Uchimura (Kumamoto Univ.) ITS2015-88
Many researches have worked for the development of automotive technologies, so as to realize a convenient and safety aut... [more] ITS2015-88
pp.23-28
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
13:30
Hokkaido Hokkaido Univ. Image Feature Descriptor of Rotation-Invariant Gradient Orientation for Pedestrian Detection under Changes of Posture
Yuta Horikawa, Kousuke Matsushima (Kurume NCT) ITS2014-42 IE2014-69
Pedestrian recognition is an important subject of research in automotive safe driving support technology. Combining imag... [more] ITS2014-42 IE2014-69
pp.53-58
MBE 2013-01-25
17:05
Fukuoka Kyushu Institute of Technologyy A Study on Finger Character Recognition using Kinect
Kai Inoue, Takeshi Saitoh (KIT) MBE2012-81
We propose a finger character recognition method using Microsoft Kinect. In our proposed method, we automatically extrac... [more] MBE2012-81
pp.45-50
ICD 2012-12-17
15:55
Tokyo Tokyo Tech Front [Poster Presentation] A Hardware-Friendly Object Recognition Algorithm Using Log Polar Coordinate Transformation
Makoto Wada, Tadashi Shibata (UT) ICD2012-96
SIFT and SIFT-based algorithms are widely used in a variety of image recognition problems. However
they present the fol... [more]
ICD2012-96
p.35
PRMU, HIP 2012-12-13
16:00
Yamagata   [Special Talk] An Image Feature Representation by Subspaces of Local Feature Descriptors
Takashi Takahashi (Ryukoku Univ.) PRMU2012-76 HIP2012-65
We introduce a novel method to represent image features for visual object recognition. In this method, each image is rep... [more] PRMU2012-76 HIP2012-65
pp.37-42
HCGSYMPO
(2nd)
2012-12-10
- 2012-12-12
Kumamoto Kumamoto-Shintoshin-plaza Comparison of local spatio-temporal features for gesture recognition with RGB-D cameras
Ryuta Fukuoka, Kazuhiko Kawamoto, Mayu Horiuchi, Kazushi Okamoto (Chiba Univ.)
Local-spatio-temporal features have become popular video representation for gesture recognition.These features have been... [more]
EMM, IE, LOIS, ITE-ME, IEE-CMN [detail] 2012-08-28
11:45
Yamaguchi   Real-time Finger Character Recognition using Range Image
Kai Inoue, Takeshi Saitoh (KIT) LOIS2012-27 IE2012-59 EMM2012-50
This paper proposes a real-time method for recognizing finger character using range image. At first, we automatically ex... [more] LOIS2012-27 IE2012-59 EMM2012-50
pp.87-92
MI 2010-01-28
17:40
Okinawa Naha-Bunka-Tenbusu Endoscopic image matching for reconstructing 3-D structure of intestine
Katsuhiro Hirai, Yasushi Kanazawa (Toyohashi Univ. of Tech.), Ryusuke Sagawa, Yasushi Yagi (Osaka Univ.) MI2009-117
We present an image matching method between endoscopic images for reconstructing 3-D shape of an intestine. In this cas... [more] MI2009-117
pp.223-228
PRMU 2009-11-26
09:00
Ishikawa Ishikawa Industrial Promotion Center An adaptive color SIFT descriptor based on independent component analysis for image classification
Danni Ai, Xianhua Han (Ritumeikan Univ.), Xiang Ruan (OMRON), Yen-Wei Chen (Ritumeikan Univ.) PRMU2009-94
In this paper, we present a novel color independent components based SIFT descriptor (termed CIC-SIFT) for object/scene ... [more] PRMU2009-94
pp.1-6
PRMU 2009-11-27
14:00
Ishikawa Ishikawa Industrial Promotion Center Unsupervised Category Classification Based on Appearance Changes Using Mobile Robot
Masahiro Tsukada, Hirokazu Madokoro, Kazuhito Sato (Akita Pref Univ.) PRMU2009-124
This paper presents an unsupervised category classification method that combines incremental learning of ART-2(Adaptive ... [more] PRMU2009-124
pp.213-218
ITE-ME, ITE-AIT, ITE-BCT, IE 2009-11-19
16:40
Fukuoka Kyushu Sangyo Univ. A Classification of Deciduous Trees by the Features of Shape and Structure
Shou Kanno, Makoto Kosugi, Nobuhiko Mukai (Tokyo City Univ.) IE2009-108
This paper proposes a method to classify deciduous trees which lose leaves by features of an outward form, trunks and br... [more] IE2009-108
pp.55-60
MVE 2009-10-08
13:00
Hokkaido Eco Center 2000 Image based view localization technique retrieving from a panorama database by local feature matching for outdoor annotation system
Naoyuki Yazawa, Hideaki Uchiyama, Hideo Saito (Keio Univ.), Myriam Servieres, Guillaume Moreau (ECN) MVE2009-38
In this paper, we propose a method for an annotation system on an
outdoor image. The system is based on image retrieval... [more]
MVE2009-38
pp.23-28
PRMU 2009-06-19
09:20
Hokkaido Hokkaido Univ. Matching with Local Invariant Features Based on Dense Edge Sampling
Naoyuki Ichimura (AIST) PRMU2009-51
Detecting local regions in which descriptors are computed is necessary
to extract local invariant features for image ma... [more]
PRMU2009-51
pp.71-76
MI 2009-01-20
17:35
Overseas National Taiwan University Speeded Up Feature Extraction for CT Image Based on Integral Image Technique
Shao-Hu Peng, Hyun-Soo Kim, Deok-Hwan Kim (Inha Univ.) MI2008-130
As a classic texture feature for image classification, the SGLDM is widely employed in medical image analysis. However, ... [more] MI2008-130
pp.319-324
 Results 1 - 19 of 19  /   
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