ITE Technical Group Submission System
Conference Schedule
Online Proceedings
[Sign in]
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, IIEEJ, AS, CG-ARTS 2020-03-13
Tokyo Tokyo University of Technology
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
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
Hokkaido Hokkaido Univ.
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
3DIT, IDY, IST [detail] 2019-12-20
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
IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] 2019-12-06
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, 3DIT [detail] 2019-06-13
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
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
ME 2016-02-20
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
ME 2016-02-20
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
ME, JSKE 2014-10-02
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
ME, JSKE 2014-10-03
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
ME, IST, IEICE-BioX [detail] 2014-06-17
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
AIT, ME 2014-05-19
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
IST, ME, IEICE-BioX 2013-06-25
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
ME, IST 2012-06-11
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
ME 2012-02-18
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
3DIT, IDY, IST 2011-10-21
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
IST, ME 2011-06-20
Ishikawa Kanazawa Univ. Depth Estimation by Different-aperture Images Obtained with Tilted Lens Optics
Hiroyuki Michi, Hiroshi Ikeoka, Takayuki Hamamoto (Tokyo Univ of Science)
In this paper, we proposed a depth estimation method by tilted lens optics. Our proposed method uses two input images: o... [more] IST2011-37 ME2011-69
IST 2011-05-27
Tokyo   [Poster Presentation] High accurate depth estimation with the free-viewpoint image synthesis system
Hironori Yamagishi, Keita Suzuki, Takayuki Hamamoto (TUS)
In this paper, we propose the methods of depth estimation and free-viewpoint image synthesis using multiple cameras. The... [more] IST2011-30
3DIT 2011-03-14
Tokyo Tokyo Univ. of Tech. Study on Iterastrive Depth Estimation for Multi-view Images -- Proposal on Occlusion and Pseudo-Matching Improvement --
Takanori Senoh, Kenji Yamamoto, Ryutaro Oi, Yasuyuki Ichihashi, Taiichiro Kurita (NICT)
We propose an iterative depth estimation for improving occlusion and pseudo-matching problems in the depth estimation of... [more] 3DIT2011-9
ME 2011-02-19
Kanagawa Kanto Gakuin Univ. Multi-viewpoint Depth From Focus/Defocus Technique
Tomohiro Isono, 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. The techni... [more] ME2011-21
 Results 1 - 20 of 26  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format

[Return to Top Page]

[Return to ITE Web Page]

The Institute of Image Information and Television Engineers (ITE), Japan