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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2021-10-09
09:00
Online Online Omni-Directional Image Representation in GAN-based Image Generator
Keisuke Okubo, Takao Yamanaka (Sophia Univ.) PRMU2021-17
The omni-directional image generation from a snapshot image taken by an ordinary camera has been developed using conditi... [more] PRMU2021-17
pp.5-10
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:00
Online Online Scene Recognition of Omni-Directional Images by Patch-Based CNN
Takumi Hatogai, Takao Yamanaka (Sophia Univ.) PRMU2021-3
In this paper, a scene recognition method for omni-directional images is proposed using patch-based convolutional neural... [more] PRMU2021-3
pp.13-18
PRMU, BioX 2018-03-18
15:20
Tokyo   Saliency Map Estimation for Omni-Directional Image Considering Prior Distribution
Tatsuya Suzuki, Takao Yamanaka (Sophia Univ.) BioX2017-50 PRMU2017-186
In recent years, the Deep Learning techniques have been applied to the estimation of saliency maps, which represent prob... [more] BioX2017-50 PRMU2017-186
pp.85-90
EA 2015-07-03
14:20
Tokyo The Univ. of Electro-Communications, 80th Anniversary Memorial Hall [Invited Talk] Study on angular region-wise source enhancement to generate binaural sounds corresponding to omni-directional camera view
Kenta Niwa, Yuma Koizumi, Kazunori Kobayashi, Hisashi Uematsu (NTT) EA2015-7
Web applications to gaze images corresponding to the user viewpoint through head mount display (HMD) or smartphone have ... [more] EA2015-7
pp.33-38
PRMU, BioX 2015-03-19
15:00
Kanagawa   A Driving Simulation System Based on Real Images Using Real-time Novel View Synthesis
Hiroya Matsumoto, Norihiko Kawai, Tomokazu Sato (NAIST), Takashi Machida (Toyota Central R&D Labs.), Naokazu Yokoya (NAIST) BioX2014-54 PRMU2014-174
Driving-simulation systems have been commonly used for training beginner drivers. In common driving-simulation systems, ... [more] BioX2014-54 PRMU2014-174
pp.89-94
CQ, MVE, IE, IMQ, CEA
(Joint) [detail]
2014-03-07
09:35
Oita Beppu International Convention Center A fast vehicle detection method from omni-directional video
Koutaro Katayama, Keiji Shibata, Yuukou Horita (Univ. Toyama) IMQ2013-50 IE2013-159 MVE2013-88
We propose a fast method for vehicle detection from omni-directional video without panoramic expansion. Vehicle detectio... [more] IMQ2013-50 IE2013-159 MVE2013-88
pp.125-128
IMQ 2013-01-25
14:15
Hyogo Kobe University Automatic Vehicle Detection in the Omni-directional Image
Koutaro Katayama, Keiji Shibata, Yuukou Horita (Toyama Univ.) IMQ2012-30
Automatic vehicle detection by using visible camera image can be achieving low cost implementation. Therefore, it is exp... [more] IMQ2012-30
pp.9-13
HCGSYMPO
(2nd)
2012-12-10
- 2012-12-12
Kumamoto Kumamoto-Shintoshin-plaza A walkthrough system to show person's view.
Toshiya Watanabe, Susumu Shibusawa (Ibaraki Univ.)
Walkthrough system is a system to represent a virtual view of a travelling direction. If we measure a person's position ... [more]
HCGSYMPO
(2nd)
2010-12-15
- 2010-12-17
Miyazaki Miyazaki Seagai resort A Walkthrough Virtual Environment with Real-Time Omni-Directional Images
Chao Liu, Susumu Shibusawa, Tatsuhiro Yonekura (Ibaraki Univ.)
Virtual walkthrough system can be used for monitoring some areas,introducing view spots or learning history. In this stu... [more]
PRMU, HIP 2010-03-16
14:25
Kagoshima Kagoshima Univ. Reduction of Unnatural Feeling in Free-viewpoint Rendering Using View-Dependent Deformable 3-D Mesh Model
Takuya Ibuki (NAIST), Tomokazu Sato (NAIST/MSR IJARC Fellow), Yasuyuki Matsushita (MSRA), Naokazu Yokoya (NAIST) PRMU2009-307 HIP2009-192
This report describes a method to reduce unnatural artifacts when producing free viewpoint images by a deformable 3-D me... [more] PRMU2009-307 HIP2009-192
pp.437-442
PRMU 2009-06-18
09:45
Hokkaido Hokkaido Univ. Driving Simulator System based on Image-based Rendering Technique using Car-mounted Omni-video
Ryo Satou (Saitama Univ.), Shintaro Ono, Ryo Nagatsuka (Univ. of Tokyo), Hiroshi Kawasaki (Saitama Univ.), Katsushi Ikeuchi (Univ. of Tokyo) PRMU2009-40
We propose a system which reproduce a large-scale scene such as a city using Image-Based Rendering (IBR).To achive this,... [more] PRMU2009-40
pp.1-6
MoNA, IPSJ-AVM, ITE-CE, ITE-ME 2008-07-23
14:40
Tokyo Shibaura Institute of Technology A study on the hybrid composition of omni images and normal images
Motoaki Sato, Jiro Katto (Waseda Univ.)
A panoramic image is the image that captures a wide scope scene in horizontal direction. Various techniques had been stu... [more] MoMuC2008-32
pp.33-38
PRMU 2007-03-15
16:15
Okayama   Accurate change detection in streetscapes using car-mounted omni-directional images
Junji Sato, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.)
As a part of ITS technology, techniques that realize quick update of street map are required. We have previously propose... [more] PRMU2006-250
pp.91-96
PRMU 2007-01-18
09:30
Kyoto   Stereo Image Generation with Image-Based Rendering by Depth Estimation
Maiya Hori, Masayuki Kanbara, Naokazu Yokoya (NAIST)
This paper describes a method of stereoscopic view generation by image-based rendering in wide outdoor environments.
Th... [more]
PRMU2006-185
pp.7-12
PRMU 2006-03-17
16:45
Fukuoka Kyushu Univ. Change detection in streetscapes from GPS data and chronological omni-directional image sequences
Junji Sato, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.)
As part of ITS technology, to achieve quick map updates,
we propose a method for automatically detecting changes in str... [more]
PRMU2005-291
pp.207-212
 Results 1 - 15 of 15  /   
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