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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 93  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
09:20
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Relation Between Shape/Texture Biases and Double-Descent Phenomenon in Visual Recognition
Shuya Takahashi (Tokyo Denki Univ./AIST), Nakamasa Inoue, Rio Yokota (Tokyo Tech), Hirokatsu Kataoka (AIST), Eisaku Maeda (Tokyo Denki Univ.) PRMU2022-60 IBISML2022-67
Under certain conditions, the learning performance of machine learning undergoes a strange phenomenon called double-desc... [more] PRMU2022-60 IBISML2022-67
pp.13-16
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:15
Hokkaido Hokkaido Univ. Text - Image Fashion Retrieval with Textural Features
Daichi Suzuki (Tokyo Univ.), Go Irie (Tokyo Univ of Science), Kiyoharu Aizawa (Tokyo Univ.) ITS2022-43 IE2022-60
In this study, we propose a method of pre-processing on a dataset and deep learning to perform fashion retrieval conside... [more] ITS2022-43 IE2022-60
pp.11-16
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:45
Hokkaido Hokkaido Univ. Statistical Analysis on HEVC Image Quality for Contrast and Rotation Component of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem
Norifumi Kawabata (Computational Imaging Lab)
When humans perceive a 3D object, they visually check the surface of the object and evaluate the shape and condition of ... [more]
PRMU 2022-10-21
15:40
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Action Recognition of Anime
Ayako Sakuma, Naoshi Kaneko, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2022-28
This paper presents an action recognition method for anime characters.
Since existing action recognition datasets focus... [more]
PRMU2022-28
pp.35-40
NC, MBE
(Joint)
2021-03-03
13:50
Online Online Analysis of deep convolutional neural network texture representation using Portilla-Simoncelli statistics
Yusuke Hamano, Hayaru Shouno (UEC) NC2020-48
Recently, DCNN has achieved significant success in the field of computer vision. It is suggested that the DCNN, which ar... [more] NC2020-48
pp.31-36
HIP, VRSJ 2021-02-18
14:55
Online Online Rendering method to reproduce the quality of projected object in projected AR
Xie Jun, Katsunori Okajima (Yokohama National Univ.) HIP2020-78
In this paper, we propose a rendering method that improves the texture of an object in a projected image for high-precis... [more] HIP2020-78
pp.28-33
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
15:40
Online Online Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information
Norifumi Kawabata (Tokyo Univ. of Science)
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more]
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
11:35
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images
Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-34 IE2019-116 MVE2019-55
We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduc... [more] IMQ2019-34 IE2019-116 MVE2019-55
pp.93-96
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
16:35
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.)
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more]
MI 2020-01-30
15:10
Okinawa OKINAWAKEN SEINENKAIKAN Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography
Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] MI2019-120
pp.235-236
IMQ 2019-12-20
16:20
Tokyo   A Preliminary Study on BTF Image Database Generation using Deep Learning
Naoki Tada, Keita Hirai (Chiba Univ.) IMQ2019-10
A method using Bidirectional Texture Function (BTF) is one of the methods to reproduce a realistic image in Computer Gra... [more] IMQ2019-10
pp.3-8
MBE, NC 2019-10-11
15:00
Miyagi   Analysis of diffuse lung disease shadows using Bolasso feature selection method
Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images.
Since various patte... [more]
MBE2019-33 NC2019-24
pp.23-27
NC, MBE
(Joint)
2019-03-06
16:40
Tokyo University of Electro Communications Study on data augmentation using Fourier transform for texture image classification
Daigo Nitta, Hayaru Shouno (UEC) NC2018-87
In the field of medical imaging such like computed tomography analysis, it is difficult to prepare a sufficient amount o... [more] NC2018-87
pp.233-238
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-19
16:30
Hokkaido Hokkaido Univ. A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.)
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more]
MI 2019-01-23
09:45
Okinawa   Feature Selection from Imbalanced Data -- Pathological Pattern Classification in Endocytoscopic Images --
Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2018-87
Endocytoscope gives ultramagnified observation that enables physicians to achieve minimally invasive and real-time diagn... [more] MI2018-87
pp.109-114
MI 2019-01-23
15:35
Okinawa   Investigation of relationships between image features of histological images in prostate cancer and Gleason scores
Kenta Ninomiya, Hidetaka Arimura, Ryoma Koyanagi, Fumio Kinoshita, Alamgir Hossain, Sumiko Watanabe (Kyushu Univ.), Kenjiro Imada (Kyushu Univ. Hosp.), Yoshinao Oda (Kyushu Univ.) MI2018-112
We aimed to investigate relationships between quantitative image features and Gleason scores that are subjectively deter... [more] MI2018-112
pp.229-232
IMQ 2018-10-19
14:40
Kyoto Kyoto Institute of Technology Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database
Norifumi Kawabata (Nagoya Univ.) IMQ2018-13
As definition of Shitsukan or Texture, there are many kind of meaning and interpretation. Therefore, there were many stu... [more] IMQ2018-13
pp.13-18
MI 2018-09-28
15:20
Tokyo Tokyo Women's Medical University Estimation of postmortem time for CT images by using texture analysis
Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuyuki Kinoshita, Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2018-35
The dissection rate for dead human bodies with suspicious death is about 11% in Japan. This rate is markedly lower than ... [more] MI2018-35
pp.11-15
PRMU, SP 2018-06-29
10:30
Nagano   Analysis of speech-to-texture sentiment association characteristics
Win Thuzar Kyaw, Yoshinori Sagisaka (Waseda Univ.) PRMU2018-30 SP2018-10
Aiming at speech visualization using textures or finding texture generation scheme from sentiment information embedded i... [more] PRMU2018-30 SP2018-10
pp.47-52
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
15:25
Okinawa   Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images
Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-81
An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time ... [more] MI2017-81
pp.51-56
 Results 1 - 20 of 93  /  [Next]  
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