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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 30  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HI 2024-03-19
14:30
Online   An Examination on Influence of Sensory Fusion on Depth Estimation of Virtual Objects in AR
Sakurako Uchiyama, Hayata Saito, Kei Kanari, Mie Sato (Utsunomiya)
In AR/VR, the sense of depth for the pointer itself is important because the pointer is often used to select a virtual o... [more] HI2024-25
pp.48-51
IEICE-HIP, HI, VRPSY, ASJ-H [detail] 2024-02-22
15:10
Okinawa   An Examination on Distance Perception Support Using Object Oscillation in Virtual Space
Hayata Saito, Kei Kanari, Mie Sato (Utsunomiya Univ.)
In this study, we created a method for depth estimation by oscillating objects based on the results of previous studies ... [more] HI2024-3
pp.10-14
3DMT 2023-03-07
15:55
Tokyo
(Primary: On-site, Secondary: Online)
Relationship between motion parallax and cardboard effect in objects with difficult depth estimation
Kosuke Takahashi, Haruki Mizushina (Tokushima Univ.), Shiro Suyama (Utsunomiya Univ.), Kenji Yamamoto (Tokushima Univ.)
It has been reported that the addition of a depth cue by motion parallax can reduce the cardboard effect, but experiment... [more] 3DMT2023-22
pp.85-88
ME, SIP, TOKAI 2022-12-07
13:35
Aichi  
(Primary: On-site, Secondary: Online)
Skeleton Estimation for Swing based on Deep Model by Introducing Articulation Constraints into Training
Atsuki Sakata, Shogo Kihira, Nobutaka Shimada (Ritsumeikan Univ.), Yuki Nagano, Masahiki Ueda (SRI)
For the purpose of developing the automatic diagnosis system of players' golf swing, we propose a method for estimating ... [more] ME2022-91 SIP2022-10
pp.23-26
AIT, IIEEJ, AS, CG-ARTS 2020-03-13
14:45
Tokyo Tokyo University of Technology
(Cancelled)
Monocular Terrain Depth Estimation with Classification of Depth Distribution
Haruka Takahashi, Yuki Endo, Yoshihiro Kanamori, Jun Mitani (Univ. of Tsukuba)
We propose a method for estimating depth from single-view terrain landscapes using convolutional neural networks (CNNs).... [more] AIT2020-66
pp.65-68
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
09:45
Hokkaido Hokkaido Univ.
(Cancelled)
Fish body measurement by depth estimation for automatic feeding of aquaculture
Kaito Hattori, Nobuo Ezaki, Motonori Saeki (NITTC), Osamu Takahashi (ISE C.L), Tatsuhiko Sakamoto (Mie Univ.)
In the automatic feeding system for aquaculture such as red sea snapper and yellowtail, the amount of feed is calculated... [more] MMS2020-1 HI2020-1 ME2020-29 AIT2020-1
pp.1-5
3DMT, IDY, IST [detail] 2019-12-20
14:55
Aichi NHK Nagoya Station Depth from Focal Stack by Deep Neural Network
Chen Baihui, Takahashi Keita, Fujii Toshiaki (Nagoya Univ.)
Light field theory is a heated topic in computer vision. Focal stack is one of the one of the most significant character... [more] IST2019-62 IDY2019-62 3DIT2019-37
pp.17-19
IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] 2019-12-06
10:10
Iwate Aiina Center Adversarial Examples for Monocular Depth Estimation CNN
Koichiro Yamanaka, Ryutaroh Matsumoto, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.)
Adversarial examples for classification and object recognition problems using convolutional neural net- works (CNN) have... [more]
IEICE-SIS, IPSJ-AVM, 3DMT [detail] 2019-06-13
13:55
Nagasaki Fukue Culture Center Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.)
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more]

HI, VRPSY 2017-11-25
10:30
Ishikawa Kanazawa Institute of Technology Effect of virtual arm's reach in depth estimation in virtual environment
Akihiro Nakamura, Kazunori Shidoji (Kyushu Univ.)
Generally, it is considered that the body’s actions act as a perceptual ruler, which is used to measure perceived distan... [more] HI2017-77
pp.39-42
ME 2016-02-20
14:40
Kanagawa Kanto Gakuin Univ. High-Accuracy Projection Mapping with a Low-Cost Depth Sensor
Yohei Aoki (UEC), Keisuke Maruyama (Kyorin Univ.), Naoki Hashimoto (UEC)
Recently, projection mapping which can change the looks of an object by projecting images attracts attention. In order t... [more] ME2016-24
pp.89-92
ME 2016-02-20
14:55
Kanagawa Kanto Gakuin Univ. Realizing dynamic spatial augmented reality using High-Speed key point detection
Naoya Niwata, Naoki Hashimoto (UEC)
Recently, spatial augmented reality(SAR) has been used as a method of editing appearance of real objects by using a proj... [more] ME2016-25
pp.93-96
ME, JSKE 2014-10-02
14:50
Gifu   An Examination of Moving Objects Tracking Using Feature Points of Three-Dimensional Shape
Takuya Takanohashi (Utsunomiya Univ), Naoki Hashimoto (UEC), Mie Sato (Utsunomiya Univ)
This paper presents a method of moving objects tracking by using a group of three-dimensional points obtained from a dep... [more] ME2014-93
pp.17-20
ME, JSKE 2014-10-03
09:20
Gifu   Error Reduction in SFF technique based on a Weighted Sum of Subband Components
Naoto Fukukawa, Yutaka Nakano, Toshiyuki Yoshida (Univ. of Fukui)
Shape From Focus/Defocus (SFF/SFD) has been known as a depth estimation technique by using focus information, which give... [more] ME2014-98
pp.41-44
ME, IST, IEICE-BioX [detail] 2014-06-17
10:45
Ishikawa Kanazawa Univ. Monocular depth estimation with wide detectable range by tilt optical system using blur model based on Johnson SU distribution
Maiki Okuwaki, Hiroshi ikeoka, Takayuki Hamamoto (Tokyo Univ. of Science)
Recently, the study of surround surveillance technique for automotive system is one of major themes. However, the depth ... [more] IST2014-29 ME2014-61
pp.45-48
AIT, ME 2014-05-19
13:30
Osaka Kinki Daigaku Blossom Cafe Multi-purpose Hall Improvement for multi-viewpoint shape from focus technique based on hidden surface detection
Mamoru Dote, Yutaka Nakano, Toshiyuki Yoshida (Univ. of Fukui)
Shape From Focus (SFF) has been known as a depth estimation technique by using focus information. The technique estimate... [more] ME2014-56 AIT2014-97
pp.1-4
IST, ME, IEICE-BioX 2013-06-25
10:00
Ishikawa   A Moving Object Extraction by Level Set Method Considering Depth Information
Hiroki Inano (Kanazawa Univ.), Akihiro Kitamura (Hitachi Solutions), Kosuke Imamura (Kanazawa Univ.)
In this paper, we proposed a moving object extraction by level set method considering depth information obtained from a ... [more] IST2013-35 ME2013-77
pp.29-32
ME, IST 2012-06-11
13:30
Ishikawa Kanazawa Univ. Improvement of Depth Estimation with the Tilt Optical System by using Non-Horizontal and Non-Parallel Focal Planes
Yuzo Taketomi, Masayuki Ohata, Hiroshi Ikeoka, Takayuki Hamamoto (TUS)
In this paper, we describe the improvement of horizontal focal planes method with the tilt optical system which is the c... [more] IST2012-30 ME2012-81
pp.5-8
ME 2012-02-18
14:15
Kanagawa Kando Gakuin Univ. Improvement for shape from focus/defocus technique based on frequency band decomposition
Tatsuhiro Yamaguchi, Yutaka Nakano, Toshiyuki yoshida (Univ. of Fukui)
“Shape from focus/defocus” has been known as one of the 3-D shape reconstruction techniques, which estimates depth infor... [more] ME2012-29
pp.113-116
3DMT, IDY, IST 2011-10-21
10:25
Tokyo   A Method for 3D Contents Production Based on Integral Photography -- Depth Estimation Using Belief Propagation --
Kensuke Ikeya, Kensuke Hisatomi, Miwa Katayama, Yuichi Iwadate (NHK)
In this paper, we propose a depth estimation method using belief propagation for the purpose of producing integral 3D co... [more] IST2011-59 IDY2011-50 3DIT2011-80
pp.5-8
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