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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
IDY, SID-JC 2022-03-04
13:05
Online online [Invited Talk] Recovery of the True Appearance from Depth-Exaggerated Images
Kokichi Sugihara (Meiji Univ.)
It is widely known among photographers that the size of a room is exaggerated in an image taken using a wide-angle lens;... [more] IDY2022-12
pp.1-5
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
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-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]

AIT, IIEEJ, AS 2016-03-09
13:15
Tokyo Tokyo Polytechnic Univ. 3D Modeling Based on Freehand Drawings and Depth Map
Kota Takaizumi, Shaori Kurata, Hiroshi Mori, Fubito Toyama, Kenji Shoji (Utsunomiya Univ.)
A method for 3D modeling by freehand drawings on color images with depth maps is proposed. The data of color images with... [more] AIT2016-123
pp.277-279
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
AIT, IIEEJ, AS 2014-03-17
16:30
Tokyo   Depth detection by infrared sensors for making projection mapping easier
Tokimasa Fujimoto, Makoto J. Hirayama (O. I. T.)
Image transformation for projection mapping is patient work for computer graphics artists. To enable easy transformatio... [more] AIT2014-95
pp.215-218
HI 2014-03-05
10:45
Tokyo Tokyo University of Agriculture and Technology A stereo saliency map model considering the disparity energy computation
Teruki Konishi, Takeshi Kohama (Kinki University)
Previous saliency-based visual attention models dealt with the mechanism underlying attentional shifts in the early visu... [more] HI2014-41
pp.53-56
BCT, KYUSHU, IEEE-BT, IEEE-AP-S-FUKUOKA 2013-01-30
09:40
Kumamoto Kumamoto Univ. Facial Feature Points Extraction for Driver Monitoring System with Depth Camera
Naoko Uchida, Zhencheng Hu, Hitoshi Yoshitomi (Kumamoto Univ.), Yanchao Dong (Tongji Univ.)
The traffic accident occurs due to aimless driving such as the driver's looking aside, fatigue, and a nap. In this resea... [more] BCT2013-3
pp.9-12
ME 2012-02-18
16:25
Kanagawa Kando Gakuin Univ. Biometrics based on ear images taken from separated angles
Yuki Iwakami, Daishi Watabe, Hideyasu Sai, Katsuhiro Sakai (SIT), Osamu Nakamura (kougakuin Univ)
An algorithm that improves the robustness of an ear biometrics system is proposed and targeted for use in surveillance s... [more] ME2012-37
pp.143-146
IST, ME 2011-06-20
15:30
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
pp.17-20
HI 2011-03-15
16:30
Tokyo Tokyo Univ. of Tech. Saliency map model for visual attention in depth
Taiki Gochi, Takeshi Kohama (Kinki Univ.)
Previous saliency-based visual attention models dealt with the mechanism underlying attentional shifts in the early visu... [more] HI2011-37
pp.31-34
 Results 1 - 13 of 13  /   
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