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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 70 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, SP 2017-06-23
14:45
Miyagi   Global Metric Localization and Correction of Scale Drift using Street View
Kazuya Iwami, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) PRMU2017-37 SP2017-13
In this paper, we propose a novel method for video geo-localization using geo-tagged images, such as those retrieved fro... [more] PRMU2017-37 SP2017-13
pp.69-74
PRMU, BioX 2017-03-21
14:10
Aichi   Three-dimensional shape retrieval based in voxel representation using LSTM and CNN
Ryo Miyagi, Masaki Aono (TUT) BioX2016-67 PRMU2016-230
In recent years, with the spread of 3D scanners, VR headsets, etc., there is an increasing demand for recognition and re... [more] BioX2016-67 PRMU2016-230
pp.203-208
WBS, RCC, ITS 2016-12-02
10:05
Kagawa Sunport Hall Takamatsu 3D Scene Understanding at Urban Intersections for Autonomous Vehicles
Prarthana Bhattacharyya, Yanlei Gu, Jiali Bao, Shunsuke Kamijo (UTokyo) WBS2016-69 ITS2016-36 RCC2016-58
Urban intersections exhibit very complex driving behavior and are extremely prone to traffic accidents and collisions. I... [more] WBS2016-69 ITS2016-36 RCC2016-58
pp.125-130
PRMU, IE, MI, SIP 2016-05-19
13:30
Aichi   Automatic classification of breast density on CT images by using deep CNN
Takuya Kano, Xiangrong Zhou (Gifu Univ.), Hiromi Koyasu (Gifu Univ. Hosp.), Ryuziro Yokoyama, Takeshi Hara (Gifu Univ.), Masayuki Matsuo (Gifu Univ. Hosp.), Hiroshi Fujita (Gifu Univ.) SIP2016-5 IE2016-5 PRMU2016-5 MI2016-5
Breast density has been used as an important risk factor of breast cancer and routinely measured on 2D mammography. 3D C... [more] SIP2016-5 IE2016-5 PRMU2016-5 MI2016-5
pp.21-25
IE, IMQ, MVE, CQ
(Joint) [detail]
2016-03-07
17:55
Okinawa   Generation of grid points for 3D-LUT in device calibration based on color discrimination thresholds
Masashi Yamamoto, Jinhui Chao (Chuo Univ.) IMQ2015-50 IE2015-149 MVE2015-77
In this paper, we propose a method to generate the grid points of 3D Look-Up Table in a color space for device calibrati... [more] IMQ2015-50 IE2015-149 MVE2015-77
pp.123-128
EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, SID-JC [detail] 2015-11-06
14:50
Tokyo Kikai-Shinko-Kaikan Bldg Diminishable Marker for Geometric Correction in Projection Mapping
Hirotaka Asayama, Daisuke Iwai, Kosuke Sato (Osaka Univ.) EID2015-6
In this paper, we propose a novel marker embedding method for position and pose estimation of a dynamically moving proje... [more] EID2015-6
pp.9-12
PRMU, BioX 2015-03-20
16:40
Kanagawa   Distortion Compensation for Novel View Synthesis Based on Image Deformation Considering Linearity of Line Segments and Continuity of Textures
Wataru Sasamoto, Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya (NAIST) BioX2014-79 PRMU2014-199
Novel view synthesis has recently attracted much attention because it can present users an image from an arbitrary viewp... [more] BioX2014-79 PRMU2014-199
pp.239-244
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
16:15
Hokkaido Hokkaido Univ. A Virtual Dress-Up System with Fast Photometric Compensation and Humanoid 3D Model Projection
Satoshi Ogawa, Naoki Hashimoto (UEC)
We propose a virtual dress-up system which projects cloth image to the user by using a projector. We use photometric com... [more]
IE, ITE-AIT, ITE-ME [detail] 2014-11-07
10:30
Kagoshima   Automatic Generation of Intermediate Parallax Image without Depth Map
Yuto Okura, Yue Bao, Yuichi Kawashima (Tokyo City Univ.) IE2014-58
3D display has been studied actively in recent years. For the 3D display which can provide the naked eye 3D image, a num... [more] IE2014-58
pp.51-55
PRMU, CNR 2014-02-14
15:00
Fukuoka   Recovering Missing Shapes and Textures by Fitting Primitives to Point Cloud
Satoshi Nakao, Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya (NAIST) PRMU2013-162 CNR2013-70
Recently, Augmented Reality (AR) or Virtual Reality (VR)-based applications that enable us to view virtualized real obje... [more] PRMU2013-162 CNR2013-70
pp.165-170
IPSJ-SLDM, CPSY, RECONF, VLD [detail] 2014-01-28
16:55
Kanagawa Hiyoshi Campus, Keio University An Image Recognition System with Multi-Resolutional Feature Learning on the 3D FPGA-Array "Vocalise"
Baku Ogasawara, Satoru Yokota, Jiang Li, Yusuke Atsumari, Hiromasa Kubo, Masatoshi Sekine (TUAT) VLD2013-116 CPSY2013-87 RECONF2013-70
We propose and develop "an image recognition system" with multi-resolutional feature learning function. The feature lear... [more] VLD2013-116 CPSY2013-87 RECONF2013-70
pp.85-90
IPSJ-AVM, CS, IE, ITE-BCT [detail] 2013-12-06
15:20
Kyoto 60th Anniversary Hall, Kyoto Institute of Technology Estimation of Vertical Surfaces Directions in Outdoor Environments with a Fixed Camera using Brightness Series Clustering
Teppei Yamamura, Kyota Aoki (Utsunomiya Uniy.) CS2013-81 IE2013-92
We require the 3D estimation methods to make 3D map and improve surveillance cameras accuracy. This paper proposes a met... [more] CS2013-81 IE2013-92
pp.195-200
MVE, HI-SIG-VR 2013-09-27
12:05
Hokkaido Rishiri Island, "Donto" Metric Rectification of Orthogonal Planes for 3D SLAM
Naoya Makibuchi, Haruhisa Kato, Hiromasa Yanagihara (KDDI R&D Labs.) MVE2013-31
For developing, 3D SLAM system that focuses on a single plane, the approach using a metric rectification of the plane fr... [more] MVE2013-31
pp.147-152
ITS 2013-07-26
15:55
Osaka Kansai University GNSS Error Correction with Multipath Detection using 3D Maps
Shunsuke Miura, Shunsuke Kamijo (Univ. of Tokyo) ITS2013-12
From the point of view of safety applications, accurate and reliable positioning of road users is the most important par... [more] ITS2013-12
pp.37-42
EMM 2013-05-25
10:00
Kochi Kochijyo Hall Technique for embedding depth maps into 2-D images
Hiroshi Unno (Kanagawa Inst. of Tech.), Youichi Takashima (NTT), Kazutake Uehira (Kanagawa Inst. of Tech.) EMM2013-10
This paper proposes a new technique that is used to embed depth maps into corresponding 2-D images. Since a 2-D image an... [more] EMM2013-10
pp.55-59
MBE 2013-05-24
10:50
Toyama   Fundamental study on face recognition using depth maps from a motion sensing input device
Shun Imaeda, Todd Cooper, Akira Tsukada (Toyama National College of Tech.) MBE2013-5
In this report, we investigate the practicality of using the Kinect motion sensing camera, originally produced for gamin... [more] MBE2013-5
pp.19-24
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2013-02-19
14:00
Hokkaido Hokkaido Univ. Technique for capturing images containing invisible depth information
Sae Isaka, Hiroshi Unno, Kazutake Uehira (Kanagawa Inst. of Tech), Youichi Takashima (NTT) ITS2012-54 IE2012-134
We present a new technique for capturing images where depth information on an object is invisibly and simultaneously emb... [more] ITS2012-54 IE2012-134
pp.317-320
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-23
11:10
Kyoto   S3D Extension and Performance Improvement of MR-PreViz System (2) -- Stereo Camera Tracking Using ICP Algorithm --
Shohei Mori, Fumihisa Shibata, Asako Kimura, Hideyuki Tamura (Ritsumeikan Univ.) PRMU2012-93 MVE2012-58
This paper presents a method of real-time 6-DOF stereo camera tracking using Iterative Closest Point (ICP) algorithm use... [more] PRMU2012-93 MVE2012-58
pp.99-104
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
10:40
Kyoto   3D Data Reduction for Real-Time Reproduction of the User's Room using Kinect
Ken Ueda, Tomoko Yonezawa (Kansai Univ.) PRMU2012-113 MVE2012-78
We aim to reconstruct 3D data of the user's living space at the remote place in realtime using Kinect data acquision.In ... [more] PRMU2012-113 MVE2012-78
pp.269-273
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
11:40
Kyoto   Creation of Kyoto Street Contents for Digital Museum
Satoshi Tanaka, Susumu Nakata, Koji Manpuku (Ritsumeikan Univ.), Yuzuru Isoda (Tohoku Univ.) PRMU2012-115 MVE2012-80
Recently, demands for 3D urban models are growing in various fields such as urban planning and landscape simulation. Thi... [more] PRMU2012-115 MVE2012-80
pp.281-285
 Results 21 - 40 of 70 [Previous]  /  [Next]  
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