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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 37  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-13
15:20
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Improved PSMNet for accurate disparity estimation for objects at close range
Kazuma Nishimura, Hideaki Kimata (Kogakuin Univ.) IMQ2023-32 IE2023-87 MVE2023-61
Depth estimation using stereo cameras has been used in various fields. Stereo cameras with narrow baselines are now avai... [more] IMQ2023-32 IE2023-87 MVE2023-61
pp.108-113
EMM 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Improvement of human flow measurement using flor estimation on depth images
Takuya Nagatoshi, Michiharu Niimi (KIT) EMM2022-74
Measuring human flow to determine the number of people and flow lines in a space is a useful decision-making tool when c... [more] EMM2022-74
pp.38-43
SIP 2015-08-19
14:50
Tokyo National Institute of informatics Theory for depth and motion imaging by the vibro-ocular stereo method -- Verification the principle and experimental evaluation --
Toshimitsu Uesaka, Shigeru Ando (Todai) SIP2015-53
This paper describes a method for simultaneous image measurement of depth
and lateral (perpendicular to optical axis) t... [more]
SIP2015-53
pp.13-18
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
15:00
Hokkaido Hokkaido Univ. Depth Video Compression Using AEC
Kazuki Itou (Chuo Univ.), Gene Cheung (NII), Akira Kubota (Chuo Univ.) ITS2014-58 IE2014-85
We propose a method that optimizes coding rate and distortion of depth map coding via two techniques - arithmetic edge c... [more] ITS2014-58 IE2014-85
pp.213-216
CNR 2014-12-04
14:45
Tokyo   Thermal Observation Robot System using 3-Dimensional Mapping
Maki Sugimoto, Katsuhiro Suzuki, Wataru Nakagawa, Kazuki Matsumoto, Hideo Saito (Keio Univ.) CNR2014-24
In this study, we propose a robotic thermal observation system in consideration of 3D mapping for the geometry of the re... [more] CNR2014-24
pp.41-42
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
IA 2014-11-06
16:50
Overseas Thailand Graphical User Interface Tool for JAVA Code Generator Using Depth First Search Technique on Directed Graph
Piyavach Khunsongkiet, Eakkarat Boonchieng (Chiang Mai Univ.) IA2014-57
The Graphical user interface tool for Java code generator using depth first search (DFS) technique on directed graph is ... [more] IA2014-57
pp.121-126
PRMU, MI, IE, SIP 2014-05-23
15:20
Aichi   Depth Map Denoising Using Collaborative Graph Wavelet Shrinkage on Connected Image Patches
Yuki Iizuka, Yuichi Tanaka (Tokyo Univ. of Agriculture and Tech.) SIP2014-20 IE2014-20 PRMU2014-20 MI2014-20
In this paper, we propose a new patch-based image denoising algorithm using graph signal processing.
The concept of thi... [more]
SIP2014-20 IE2014-20 PRMU2014-20 MI2014-20
pp.107-112
NC, MBE
(Joint)
2014-03-18
14:20
Tokyo Tamagawa University 3D Superresolution of Microscopic Images based on Variational Bayesian Inference via Chebyshev polynomials approximation
Yasuhiro Imoto, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2013-111
Optical microscopes are used to elucidate changes in cellular functions mediated by morphological changes of cells in vi... [more] NC2013-111
pp.133-138
PRMU 2014-03-14
10:45
Tokyo   A study on multi-modal speech recognition using depth images
Naoya Ukai, Satoshi Tamura, Satoru Hayamizu (Gifu Univ.) PRMU2013-198
This paper presents a novel framework which uses depth information of human face and mouth movements as yet another moda... [more] PRMU2013-198
pp.179-184
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2014-02-18
11:30
Hokkaido Hokkaido Univ. Improvement of 2-D Picture Quality for H.265/HEVC using Foreground and Boundary Regions Detection by 3-D Depth Map
Shinya Iwasaki, Ryoki Takada (Waseda Univ.), Yasutaka Matsuo (Waseda Univ./NHK), Jiro Katto (Waseda Univ.) ITS2013-57 IE2013-122
International standardization of multi-view and 3D video coding formats is now the hot topic at MPEG. For the latter, vi... [more] ITS2013-57 IE2013-122
pp.159-164
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-02
17:30
Tottori   Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information -- Object Tracking under Occlusion --
Kourosh Meshgi, Yu-zhe Li, Shigeyuki Oba, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) PRMU2013-42 IBISML2013-22
Object tracking has attracted recent attention because of high demands for its everyday-life applications. Handling occl... [more] PRMU2013-42 IBISML2013-22
pp.85-91
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
HIP 2013-03-14
10:40
Okinawa okinawa-sangyoushien center Training system for learning finger alphabets with feedback functions
Daisuke Takabayashi, Yasuhiro Ohkawa (Univ. of Tsukuba), Kohei Setoyama, Yoto Tanaka, Nobuko Kato, Akio Okazaki (Tsukuba Univ. of Technology), Kazuhiro Fukui (Univ. of Tsukuba) HIP2012-90
We developed training system for learning finger spellings with feedback functions.
Our system can classify 41 kinds of... [more]
HIP2012-90
pp.79-84
SIS 2013-03-07
13:30
Shizuoka Create Hamamatsu A study regarding real-time data processing for Kinect sensor on an embedded-system
Takanori Koga, Chinbat Chindegsuren (Tokuyama CT) SIS2012-52
Recent years, it is coming into use to control equipment by natural human behaviors, such as speech, gestures, and hand ... [more] SIS2012-52
pp.39-42
SIS 2013-03-07
16:00
Shizuoka Create Hamamatsu An application of edge-preserving smoothing using depth information to image resizing
Takanori Koga (Tokuyama CT), Noriaki Suetake (Yamaguchi Univ.) SIS2012-58
Recently, an image resizing technique is required to perform the resizing of an image while keeping the shape of main ob... [more] SIS2012-58
pp.71-74
PRMU 2013-02-21
14:30
Osaka   Object Recognition by the Kinect Cane System and its Performance Evaluation
Shotaro Yamaguchi, Hotaka Takizawa, Mayumi Aoyagi (Univ of Tsukuba), Nobuo Ezaki (Toba National College of Maritime Technology), Shinji Mizuno (Aichi Institute of Technology) PRMU2012-144
In this report, we propose a recognition method for chairs, upward stairs, and downward stairs using a Kinect-equipped w... [more] PRMU2012-144
pp.85-90
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]
2013-01-24
15:45
Kyoto   Bilateral Filtering based depth image correction consistent with color image captured by Kinect
Haruka Takenaka, Toshikazu Wada, Hiroshi Oike, Manabu Inoue, Yoshiaki Shimada (Wakayama Univ.) PRMU2012-119 MVE2012-84
There exists a calibration method that modifies depth and color images captured by Kinect so as to minimize the 2D geome... [more] PRMU2012-119 MVE2012-84
pp.311-316
ITE-BCT, IPSJ-AVM, CS, IE [detail] 2012-12-06
14:35
Fukui Fukuisi-chiiki-kouryu-plaza Pseudo 3D Reconstruction from 2D Video Contents Using Partially Designated Depth Information
Yusuke Narita, Ichiro Matsuda, Hironobu Fukai, Susumu Itoh (TUS) CS2012-80 IE2012-94
Recently, there is growing interest in techniques which add depth information to existing 2D images for low cost 3D cont... [more] CS2012-80 IE2012-94
pp.53-58
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