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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 117 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CS 2021-07-15
16:45
Online Online Visible Light Vehicle Ranging using High-speed Stereo Cameras
Ruiyi Huang, Takaya Yamazato, Hiraku Okada (Nagoya Univ.), Masayuki Kinoshita (Chiba Institute of Tech.), Shintaro Arai (Okayama Univ. of Sci.), Koji Kamakura (Chiba Institute of Tech.), Tomohiro Yendo (Nagaoka Univ. of Tech.), Toshiaki Fujii (Nagoya Univ.) CS2021-22
This study presents a performance evaluation of range estimation between vehicles and infrastructures in an ITS-VLC syst... [more] CS2021-22
pp.33-37
PRMU, IPSJ-CVIM 2021-03-04
16:20
Online Online VQA for Medical Image Data based on Image Feature Extraction and Fusion
Hideo Umada, Masaki Aono (TUT) PRMU2020-81
In recent years, there has been a remarkable growth in research on deep learning in the fields of computer vision and na... [more] PRMU2020-81
pp.71-76
EID, ITE-IDY, IEIJ-SSL, SID-JC, IEE-EDD [detail] 2021-01-28
13:25
Online Online 3D Image Depth Enlargement in Large and Long-Viewing Distance Edge-Based DFD Display by Blurring Edge Images
Hideto Matsubara, Shiro Suyama, Haruki Mizushina (Tokushima Univ.) EID2020-20
We can successfully extend depth-fusion limit of front-rear gap from two image depths to one perceived depth by blurring... [more] EID2020-20
pp.21-24
SIS, ITE-BCT 2020-10-01
10:30
Online Online A Proposal of Backlit Image Enhancement Method Improving Visibility of Dark Regions
Masato Akai (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2020-11
A backlit image often includes both of bright regions and extremely dark regions. The visibility of the dark regions in ... [more] SIS2020-11
pp.5-10
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
11:10
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Investigation of diagnostic support system for portable chest X-ray images by two-step classification using ensemble learning
Takahiro Dozono, Yuichiro Yoshimura, Kumiko Arai, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-33 IE2019-115 MVE2019-54
Portable radiographs are used to monitor critically ill patients in intensive care units who have difficulty moving. How... [more] IMQ2019-33 IE2019-115 MVE2019-54
pp.89-92
ITE-BCT, SIS 2019-10-24
15:10
Fukui Fukui International Activities Plaza A Proposal of Multi-Exposure Image Fusion Method Using Resultant Images of Histogram Specification
Daiki Moriyama, Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2019-16
When we shoot the object, the image contain underexposure or overexposure regions.In general, the image with improved un... [more] SIS2019-16
pp.41-46
IMQ, HIP 2019-07-19
15:55
Hokkaido Satellite Campus, Sapporo City University A Note on Eye Gaze Based User-specific Interest Estimation for Images -- Performance Improvement Based on Decision Level Fusion --
Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) IMQ2019-4 HIP2019-32
This paper presents an estimation method of user-specific interests for images.
The proposed method computes projection... [more]
IMQ2019-4 HIP2019-32
pp.17-20
EA, ASJ-H, ASJ-AA 2019-07-17
09:30
Hokkaido SAPPORO COMMUNITY PLAZA Relationship between left-right asymmetry for head shape and localization accuracy on the elevation direction.
Akihiro Kudo, Kento Iwasaki (NIT, Tomakomai College) EA2019-10
In this paper, the influence of left-right asymmetry in the listener's head and pinna shape on sound localization in ele... [more] EA2019-10
pp.45-50
SIS, IPSJ-AVM, ITE-3DMT [detail] 2019-06-13
15:05
Nagasaki Fukue Culture Center A Proposal of Saturation-Based Multi-Exposure Image Fusion Method Based on Local Color Correction
Daiki Moriyama (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2019-8
When we shoot a natural scene, the image may contain under-exposure or over-exposure regions.This is because the dynamic... [more] SIS2019-8
pp.41-46
CS 2018-11-01
11:00
Ehime The Shiki Museum Emotion Extraction from Face Images and its Quantification/Visualization -- Experimental Evaluation in Music Concerts and Rakugo Performance --
Seima Todo, Tetsuo Tsujioka, Kazunobu Okazaki, Akihiro Odanaka (Osaka City Univ.) CS2018-63
Nowadays, machine learning, especially a deep learning technique for image classification, has been one of attractive re... [more] CS2018-63
pp.43-49
SIS, ITE-BCT 2018-10-26
10:50
Kyoto Kyoto University Clock Tower Centennial Hall A Proposal of Hue-Preserving Image Fusion Method Taking Account of Perceived Lightness
Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2018-18
Image fusion is a blending technique to display some images as one image. In this report, we propose a hue-preserving im... [more] SIS2018-18
pp.83-87
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
15:10
Okinawa   A Multi-Exposure Image Fusion Scheme based on Automatic Exposure Compensation
Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) EA2017-136 SIP2017-145 SP2017-119
This paper proposes a novel luminance adjustment method based on automatic exposure compensation for multi-exposure imag... [more] EA2017-136 SIP2017-145 SP2017-119
pp.191-196
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:40
Okinawa   MI2017-78 Diseases appearing in the spine include spondylolysis, spondylolisthesis, vertebral fracture, and the like. A preoperati... [more] MI2017-78
pp.43-44
MBE, NC
(Joint)
2018-03-13
15:05
Tokyo Kikai-Shinko-Kaikan Bldg. Diffusion weighted MRI sequence with T2 prepared pulse
Kazuhiro Nakamura, Hideto Toyoshima (Akita Noken), Hajime Tamura (Tohoku Univ), Hideto Kuribayashi, Yuta Urushibata (Siemens), Toshibumi Kinoshita (Akita Noken) MBE2017-87
An image reflecting tissue water diffusion constant is obtained with the diffusion weighted image (DWI) using magnetic r... [more] MBE2017-87
pp.41-44
MBE, NC
(Joint)
2017-11-25
10:25
Miyagi Tohoku University Classification of tongue's Motor Imagery in Event-Related Desynchrozation
Masahiro Nishikawa, Hisaya Tanaka (Kogakuin Univ.) MBE2017-50
Motor imagery (MI) is switch of MI brain-computer interface (BCI). The purpose of this study classify tongue's MI and o... [more] MBE2017-50
pp.17-22
SDM 2017-10-25
16:00
Miyagi Niche, Tohoku Univ. Nanoscale conformal doping technology by spin on diffusion source
Tetsuro Kinoshita, Shunichi Mashita, Takuya Ohashi, Yoshihiro Sawada, Yohei Kinoshita, Satoshi Fujimura (TOK) SDM2017-53
We developed a coating material which can form nanoscale conformal film on the wafer with 3D structure. In this study, c... [more] SDM2017-53
pp.21-24
HIP 2017-10-23
14:10
Kyoto Kyoto Terrsa Influence of Accommodation Error on Human Vision's Recognition Characteristics for Flashed Images
Shu Kitabatake, Nobutaka Oi, Toshikazu Matsui (Gunma Univ.) HIP2017-58
This research clarifies the significance of accommodation error in image recognition in human vision. Actually, it switc... [more] HIP2017-58
pp.13-16
SIP 2017-08-24
10:50
Tokyo Tokyo Denki University HDR Imaging from LDR Images with Motion by Estimating Shutter Speed
Aika Miyagawa, Xi Zhang (UEC) SIP2017-50
Composition of High Dynamic Range (HDR) image from Low Dynamic Range (LDR) images has been comprehensively studied. In m... [more] SIP2017-50
pp.13-18
ED 2017-08-10
09:15
Tokyo Kikai-Shinko-Kaikan Bldg. Bio-image sensor for multi-detection of ATP, ACh, and hydrogen ion -- Enhanced discrimination by hydrogen ion diffusion-barrier layers --
You-Na Lee, Tomoko Horio, Koichi Okumura, Tatsuya Iwata, Kazuhiro Takahashi, Kazuaki Sawada (TUT) ED2017-33
In our previous work, we reported a bio-image sensor for multi-detection of neurotransmitters such as adenosine triphosp... [more] ED2017-33
pp.33-36
IE 2017-06-29
13:45
Okinawa   Pseudo Multi-Exposure Image Fusion Based on a Single Image
Yuma Kinoshita (Tokyo Metro. Univ.), Taichi Yoshida (Nagaoka Univ. of Tech.), Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) IE2017-26
This paper proposes a novel pseudo multi-exposure image fusion based on a single image.Multi-exposure image fusion is a ... [more] IE2017-26
pp.7-12
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