Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
From Pixels to Precision: Passing into the Future of Super-Resolution Mastery Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71 |
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] |
IMQ2023-42 IE2023-97 MVE2023-71 p.165 |
MI, MICT |
2023-11-14 13:00 |
Fukuoka |
|
Brain Disease Classification Based on Brain MRI Images Using 3D-CNN Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center) MICT2023-29 MI2023-22 |
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] |
MICT2023-29 MI2023-22 pp.15-20 |
PRMU, IPSJ-CVIM |
2023-05-18 13:30 |
Aichi |
(Primary: On-site, Secondary: Online) |
Image Harmonization Using Diffusion Model for Perceptual Quality Improvement Taito Naruki, Norimichi Ukita (TTI) PRMU2023-1 |
Image harmonization is the task of eliminating the discomfort of color tones that occurs when images are composited. How... [more] |
PRMU2023-1 pp.1-5 |
PRMU, IPSJ-CVIM |
2023-05-19 10:05 |
Aichi |
(Primary: On-site, Secondary: Online) |
Differentiable Ray Tracing for Estimating Object Shape, Texture, and Light Source Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) PRMU2023-10 |
In this report, an inverse problem of raytracing-based image synthesis is discussed. The proposed method estimates a se... [more] |
PRMU2023-10 pp.51-56 |
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 |
SIS, ITE-BCT |
2021-10-08 11:10 |
Online |
Online |
A Hardware-Oriented Algorithm for Person Recognition Processing using GMM-MRCoHOG features Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (AISIN), Shuichi Enokida, Hakaru Tamukoh (Kyutech) SIS2021-19 |
In this research, we focus on Gaussian Mixture Model-MultiResolution Co-occurrence Histograms of Oriented Gradients (GMM... [more] |
SIS2021-19 pp.48-53 |
SIS, ITE-BCT |
2020-10-01 13:40 |
Online |
Online |
Image Regularization with Morphological Gradient Priors Using Optimization of Multiple Structuring Elements for Each Pixel Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2020-15 |
In image regularization, a method for restoring an image has been proposed in which a morphological gradient is used as ... [more] |
SIS2020-15 pp.29-34 |
SIS, ITE-BCT |
2020-10-01 14:00 |
Online |
Online |
An FPGA Implementation of Human Recognition using MRCoHOG Features Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (EQUOS RESEARCH), Shuichi Enokida, Hakaru Tamukoh (Kyutech) SIS2020-16 |
In this research, we design a hardware of human recognition using Multiresolution Co-occurrence Histograms of Oriented G... [more] |
SIS2020-16 pp.35-39 |
SIP |
2020-08-28 13:30 |
Online |
Online |
[Invited Talk]
Image smoothing based on L0 gradient regularization and its applications Ryo Matsuoka (Univ. of Kitakyushu) SIP2020-37 |
This talk outlines research on image processing based on L0 gradient regularization that promotes sparseness in the grad... [more] |
SIP2020-37 p.33 |
SIS |
2019-12-13 10:00 |
Okayama |
Okayama University of Science |
Hue-preserving Color Image Enhancement Method by Using Ideal Distribution and Gradient Norm-based Weighted Histogram Yoshiaki Ueda (Fukuoka Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2019-31 |
In this report, we propose a hue-preserving color image enhancement method by using an ideal coefficient distribution an... [more] |
SIS2019-31 pp.39-44 |
ITE-BCT, SIS |
2019-10-24 15:30 |
Fukui |
Fukui International Activities Plaza |
Image Regularization with Total Variation and Morphological Gradient Priors Using Optimization of Structuring Element for Each Pixel Shoya Oohara, Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2019-17 |
As an image prior for image restoration, a method using the sum of morphological gradients has been proposed. Optimizati... [more] |
SIS2019-17 pp.47-52 |
SIS |
2019-03-06 13:00 |
Tokyo |
Tokyo Univ. Science, Katsushika Campus |
Evaluation of an FPGA Implementation of MRCoHOG Feature using High-Level Synthesis Yuya Nagamine, Kazuki Yoshihiro, Hakaru Tamukoh (Kyutech) SIS2018-37 |
In this report, we evaluate a Field Programmable Gate Array (FPGA) implementation of Multiresolution Co-occurrence Histo... [more] |
SIS2018-37 pp.1-4 |
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-07 15:40 |
Hiroshima |
Satellite Campus Hiroshima |
A 4-cell per Pixel Structure Image Sensor with Gradient-Based Motion Estimation Function Tomohiro Aratani, Takayuki Hamamoto (TUS) CPM2018-98 ICD2018-59 IE2018-77 |
We propose an imaging method that can calculate the motion vectors on the image sensor and an image sensor with 4-cell p... [more] |
CPM2018-98 ICD2018-59 IE2018-77 pp.49-52 |
SIS, ITE-BCT |
2018-10-26 10:30 |
Kyoto |
Kyoto University Clock Tower Centennial Hall |
Image Regularization with Morphological Gradient and Total Variation Priors Using Optimization of Structuring Element by GA Shoya Oohara, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2018-17 |
As an image prior for image restoration, a method using the sum of morphological gradients for an image has been propose... [more] |
SIS2018-17 pp.77-82 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-21 13:50 |
Fukuoka |
|
Multi-modal image registration based on local mutual information Hiroaki Tani, Toshikazu Wada (Wakayama Univ) PRMU2018-65 IBISML2018-42 |
In recent years, various types of images having different modality from visible-light images, such as infrared images, d... [more] |
PRMU2018-65 IBISML2018-42 pp.207-212 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-12 10:55 |
Hokkaido |
Hakodate Arena |
[Poster Presentation]
Detection of Visible Light Communication Transmitter by Machine Learning using Time Gradient Feature Masahiro Hori, Masayuki Kinoshita, Takaya Yamazato, Hiraku Okada, Toshiaki Fujii (Nagoya Univ.), Koji Kamakura (Chiba Inst. of Tech.), Tomohiro Yendo (Nagaoka Univ. of Tech.), Shintaro Arai (Okayama Univ. of Sci.) RCC2018-36 NS2018-49 RCS2018-94 SR2018-33 ASN2018-30 |
In this paper, we focus on an image sensor visible light communication (VLC) for Intelligent Transport System (ITS). In ... [more] |
RCC2018-36 NS2018-49 RCS2018-94 SR2018-33 ASN2018-30 pp.69-74(RCC), pp.75-80(NS), pp.87-92(RCS), pp.79-84(SR), pp.85-90(ASN) |
CAS, SIP, MSS, VLD |
2018-06-14 13:50 |
Hokkaido |
Hokkaido Univ. (Frontier Research in Applied Sciences Build.) |
Robust Image Smoothing Based on Gradient Range Constraints Yuji Akai, Toshihiro Shibata, Ryo Matsuoka (Kagawa Univ.), Masahiro Okuda (The Univ. of Kitakyushu) CAS2018-7 VLD2018-10 SIP2018-27 MSS2018-7 |
Image smoothing methods based on optimization, are widely useful for some important applications, e.g., contrast enhance... [more] |
CAS2018-7 VLD2018-10 SIP2018-27 MSS2018-7 pp.33-37 |
SIS, IPSJ-AVM, ITE-3DMT [detail] |
2018-06-08 11:10 |
Hokkaido |
Jozankei View Hotel |
Image Regularization with Morphological Gradients Priors Using Optimization of Multiple Structuring Elements Hirotaka Oka, Shoya Oohara, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (C.I.T.) SIS2018-7 |
An image restoration method using morphological gradients as an image prior and optimizing a structuring element by a ge... [more] |
SIS2018-7 pp.63-68 |
SIP, IT, RCS |
2018-01-22 13:55 |
Kagawa |
Sunport Hall Takamatsu |
Hyperspectral Image Restoration Ryuji Kurihara, Masahiro Okuda (Kitayu U.) IT2017-73 SIP2017-81 RCS2017-287 |
We propose a new regularization function for hyperspectral image (HSI) restoration. Spatial-smoothness-based regularizat... [more] |
IT2017-73 SIP2017-81 RCS2017-287 pp.107-111 |
SIS |
2017-12-14 14:30 |
Tottori |
Tottori Prefectural Center for Lifelong Learning |
A Method for Image Regularization with Morphological Gradient Priors Considering Optimization of SE Yudai Ikeshita, Mitsuji Muneyasu (Kansai Univ.), Makoto Nakashizuka (CIT), Soh Yoshida (Kansai Univ.) SIS2017-40 |
An image restoration by image regularization with morphological gradient priors has been proposed. In the method, the se... [more] |
SIS2017-40 pp.39-44 |