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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 110 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:05
Online online A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a personalized saliency map (PSM) prediction method using a small amount of gaze data based on user ... [more] MMS2022-26 ME2022-51 AIT2022-26
pp.181-186
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
13:00
Online online 360° cameras have gained popularity over the last few years. Meanwhile, the development of Deep Neural Networks (DNNs) h... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
13:15
Online online Noise-Resistant Learning for Object Detection
Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa (UTokyo)
Supervised training of object detectors requires well-annotated large-scale datasets, whose production is extremely expe... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
14:40
Online online A Study on Object Detection in Omnidirectional Images Using Deep Learning
Yasuyuki Ishida, Toshio Ito (SIT)
A minimum sensor configuration is desired for a popular automatic vehicle. In this study, an omnidirectional camera with... [more]
ME 2022-02-12
15:15
Online online Shooting support system for multi-smartphone environment using AR
Ryoya Konishi, Yuuki Takeshita, Chao Zhang, Shogo Tokai (Univ. of Fukui)
I propose a shooting support system consisting of multi-smartphone and one server. This system analyzes the
degree of c... [more]
ME2022-20
pp.75-78
ME 2022-02-12
16:15
Online online Carried Object Detection using Body Structure
Yoshiki Nakajima, Eiji Kamioka, Phan Xuan Tan (SIT)
Carried object detection is a method of detecting personal belongings from a system of people and things in an image or ... [more] ME2022-24
pp.91-96
IDY, IEICE-EID, IEE-EDD, SID-JC, IEIJ-SSL [detail] 2022-01-27
16:00
Online   Improvement of distant-3D-image depth perception by Arc 3D display with smooth motion parallax
Takeshi Yasui, Kisa Nakano, Haruki Mizushina, Shiro Suyama, Kenji Yamamoto (Tokushima Univ.)
Arc 3D display with moving head or moving Arc 3D display can successfully solve the perceived-depth sticking problem to ... [more] IDY2022-6
pp.21-24
AIT, IIEEJ, AS, CG-ARTS 2021-03-08
15:00
Online Online An Illustration-like Rendering Method of Densely Packed Many Objects with Similar Shapes
Reika Yagi (Tokyo Denki Univ.), Shuhei Kodama (ASTRODESIGN), Tokiichiro Takahashi (Tokyo Denki Univ./ASTRODESIGN)
In cartoons and animations, there is a method of representing same shaped and highly dense objects by mixing the flatly ... [more] AIT2021-112
pp.279-282
HI 2021-03-05
14:05
Online   [Short Paper] Fault determination of electric motor coil by YOLO-v3 with Attention
Mizuki Kato (Ritsumeikan Univ Grad), Yutaro Iwamoto (Ritsumeikan Univ), Toshitaka Sugimoto, Toru Aiba (Kusatsu Electric), Yen-Wei Chen (Ritsumeikan Univ)
Object detection has been widely applied to the visual inspection of factory products. However, since the detection mode... [more] HI2021-7
pp.25-26
HI, VRPSY 2020-11-27
11:15
Online   Examination of the effect of physical meaning of stimulus on vection
Moyou Jiang, Takeharu Seno, Gerard B. Remijn (Kyushu Univ.), Shinji Nakamura (Nihon Fukushi Univ.)
Visually induced self-motion perception (vection) refers to a perceptive phenomenon in which a person might feel like hi... [more] HI2020-61
pp.9-12
3DMT 2020-10-20
14:20
Online Online Real-Object DFD (Depth-fused 3D) display Can Successfully Achieve Perceived Depth Change of Real Object
Oku Iwamoto, Haruki Mizushina, Shirou Suyama (Tokushima Univ.)
Real-Object Depth-fused 3D (DFD) display can successfully change perceived depth of real object by changing added front-... [more] 3DIT2020-28
pp.49-52
SIP, IEICE-MVE, VRSJ 2020-06-01
14:25
Tokyo   High-Speed Metal Objects Detection Using Interreflection Region Estimation Method
Shinichi Sumiyoshi, Yuji Sakamoto (Hokkaido University)
It is necessary to discriminate metal objects at high speed with a low-cost sensor for automatic sorting
of waste.
In... [more]

AIT, IIEEJ, AS, CG-ARTS 2020-03-13
12:50
Tokyo Tokyo University of Technology
(Cancelled)
A 3D object erasure and replacement method using AR and general object recognition
Kazuki Otsuka, Kohei Tokoi (Wakayama Univ.)
Many AR applications are designed on a flat surface without objects. For this reason, if the virtual object is arranged ... [more] AIT2020-107
pp.197-198
HI, 3DMT 2020-03-11
14:50
Tokyo Kogakuin Univ. Tokyo Urban Tech Tower Campus
(Cancelled)
Effect of presenting own body on VR sickness
Naoki Miura (SIT/AIST), Hiroyasu Ujike (AIST/SIT), Michiko Ohkura, Masaomi Kimura (SIT/AIST)
This Study investigated the effect of presenting own body on VR sickness. In the experiment, we presented VR movie throu... [more] HI2020-55 3DIT2020-6
pp.19-22
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
16:50
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Image Retrieval Focusing on Objects in Images -- Improving Retrieval Performance Based on Object Recognition Using RetinaNet --
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Image retrieval method using a text as a query is effective because it enables users to prepare query easily. In these m... [more] MMS2020-49 HI2020-49 ME2020-77 AIT2020-49
pp.377-381
HI, VRPSY 2019-11-09
10:20
Osaka Kindai Univ. Influence of Stationary Objects outside Display Screen on Visually-Induced Motion Sickness
Toshikazu Matsui, Jun Kawashima (Gunma Univ), Yoshishige Ueki (Komatsu)
This research examines the effect of stationary objects outside the screen on visually-induced motion sickness. Actually... [more] HI2019-82
pp.45-48
IEICE-SIS, IPSJ-AVM, 3DMT [detail] 2019-06-13
13:15
Nagasaki Fukue Culture Center Autoencoders having surplus neurons in a hidden layer
Akihiro Suzuki, Hakaru Tamukoh (KYUTECH)
Unknown data is not compatible with a supervised training. This study employ autoencoders (AEs) to detect unknwon data. ... [more]
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
14:00
Tokyo Waseda Univ. A Representation Method of Cloud like Animation Using Fluid Simulation
Miyu Sakaguchi, Kohe Tokoi (Wakayama Univ.)
In this research, we developed a method of expressing clouds that behave like deformation or scattering due to collision... [more] AIT2019-149
pp.351-352
ME 2019-02-09
12:00
Kanagawa Kanto Gakuin University An Examination of Depth Information Presentation in Moving a Virtual Object with Eye Tracking
Yuki Tanaka, Mie Sato (Utsunomiya Univ.)
Recently, research on interaction with virtual objects has been conducted in AR and VR. This study develops a system tha... [more] ME2019-5
pp.9-12
ME 2019-02-09
13:45
Kanagawa Kanto Gakuin University Robust Object Tracking for Dynamic Projection Mapping on Grasped Objects
Yuki Morikubo, Eugene San Lorenzo, Naoki Hashimoto (UEC)
Recently, dynamic projection mapping (DPM) which is a projection technique of editing appearance of moving real objects ... [more] ME2019-12
pp.35-38
 Results 21 - 40 of 110 [Previous]  /  [Next]  
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