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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-03-07
16:13
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Classification of endoscope images with specular reflection using CNN
Shun Katsuyama, Masashi Fujii (Tottori Univ.), Kazutake Uehara (Yonago Coll.), Masaru Ueki, Hajime Isomoto, Katsuya Kondo (Tottori Univ.) MI2022-123
The endoscopic training system is required that checks whether the inspection points have been taken. In this report, we... [more] MI2022-123
pp.199-204
SIS 2020-03-05
16:10
Saitama Saitama Hall
(Cancelled but technical report was issued)
3D pose estimation using OpenPose and depth data for endoscope operation analysis
Yuki Abe, Katsuya Kondo, Kazu Mishiba (Tottori Univ. Eng.), Tomohiro Shimoda (MICOTO Tech.), Masashi Fujii, Kazutake Uehara (Tottori Univ. Hospital), Masaru Ueki (Tottori Univ. Med.) SIS2019-46
This report relates to a method for accurately extracting key points of 3dimensional(3D) posture of an operator when ana... [more] SIS2019-46
pp.51-56
SIS 2020-03-06
10:40
Saitama Saitama Hall
(Cancelled but technical report was issued)
Tracking of human with occlusion in thermal images using particle filter
Kohei Tsukahara, Katsuya Kondo, Mishiba Kazu (Tottori Univ) SIS2019-51
One of the factors that makes it difficult to track objects in image processing is the occlusion problem. Especially in ... [more] SIS2019-51
pp.79-84
SIS 2020-03-06
11:00
Saitama Saitama Hall
(Cancelled but technical report was issued)
Detection of moving objects with different intensity using ring filters
Tsuyoshi Narita, Ryoto Nishiyama, Katsuya Kondo (Tottori Univ.) SIS2019-52
Moving objects can be often detected by background subtracting or temporal differencing as the traditional approach. How... [more] SIS2019-52
pp.85-90
PRMU, CNR 2018-02-19
10:00
Wakayama   3D Object Classification from a Single Depth Image and Its Normal Map by a Deep Convolutional Neural Network
Tomotaka Ohnishi, Yuji Oyamada, Kazu Mishiba, Katsuya Kondo (Tottori Univ.) PRMU2017-150 CNR2017-28
(To be available after the conference date) [more] PRMU2017-150 CNR2017-28
pp.31-36
SIS 2017-03-02
14:10
Kanagawa Kanagawa Inst. Tech. Yokohama Office Thermal image diagnosis support system considering tile color for anomaly detection of exterior walls
Kazuki Maeda, Katsuya Kondo, Kazu Mishiba, Yuji Oyamada (Tottori Univ.), Makoto Kuramitsu (Sanin Engineering) SIS2016-48
In the field of exterior wall inspection, infrared inspection has gotten attention because it is time-saving and safety ... [more] SIS2016-48
pp.35-40
MI 2016-11-14
09:00
Tottori Tottori Univ. Cell detection for multiple cells with large mutual luminance difference
Katsuya Kondo, Kazu Mishiba, Yuji Oyamada, Masaki Yoshikawa (Tottori Univ.), Akihiro Kurimasa (Tohoku MPU) MI2016-62
We propose a method for cell separation in microscopic images. In this report, it is for cells which relatively broadly ... [more] MI2016-62
pp.1-4
SIS 2015-03-05
15:15
Tokyo Meiji Univ. Nakano Campus (Tokyo) Image Synthesis of Twin Camera Using Self Similarity for Nasal Breath Test
Katsuya Kondo, Rieko Doi, Kazuo Ryoke (Tottori Univ) SIS2014-101
For examination of velopharyngeal function etc., a nasal breath mirror of stainless plate is often used. The disease can... [more] SIS2014-101
pp.57-60
IMQ 2014-12-20
13:50
Aichi Nagoya University High Resolution Evaluation for Point Dose Distribution using 2D Detector
Yasushi Ono, Katsuya Kondo (Tottori Univ.) IMQ2014-17
In intensity modulated radiation therapy(IMRT), a verification of the point dose distribution is required prior to treat... [more] IMQ2014-17
pp.5-10
SIS 2014-03-06
13:20
Osaka Gran Front Osaka, Knowledge Capital C-9F, 901 Object Tracking in Crowded Scenes by Dependent Dirichlet Process Hidden Markov Model
Katsuya Kondo, Takuya Okamoto (Tottori Univ.) SIS2013-60
In crowded scenes where it is generally difficult to track moving objects, detection and tracking of objects are very ch... [more] SIS2013-60
pp.27-30
SIS 2013-12-12
15:20
Tottori Torigin Bunka Kaikan (Tottori) Splicing Boundary Detection by Using Differential Features on Camera Response Function
Hirokazu Kato (Criminal Investigation Lab.), Toshiyuki Nagao, Hideaki Fujiwara, Katsuya Kondo (Tottori Univ.) SIS2013-41
An image splicing can be easily made by the advance of an image editor. And there was a problem that justification as an... [more] SIS2013-41
pp.75-79
SIS, IPSJ-AVM 2012-09-20
12:50
Osaka Tottori Pref. Osaka Office Huge Flow Detection in Crowded Scenes using Dependent Dirichlet Process HMM
Takuya Okamoto, Katsuya Kondo (Tottori Univ.) SIS2012-20
In this report, we present the framework of huge flow detection in crowded scenes. The flow analysis is done by using De... [more] SIS2012-20
pp.23-28
SIS 2012-06-15
10:20
Hokkaido Tokachi Plaza (Obihiro City) Grip Tracking Method in Golf Swing by using Kinect Sensor and Particle Filter
Kensaku Kumada, Yutaka Usui, Katsuya Kondo (Tottori Univ.) SIS2012-13
In this report, we present a method for a grip tracking in golf swing by using a Kinect sensor and a particle filter. A... [more] SIS2012-13
pp.65-70
SIS 2012-03-01
14:10
Tokyo Shibuya Satellite Class, Tokyo City Univ. Single Image Super-Resolution based on Reconstruction with Edge Preservation
Hideaki Fujiwara, Katsuya Kondo (Tottori Univ.) SIS2011-61
In this report, we present a method for a single image super-resolution based on reconstruction with edge preservation. ... [more] SIS2011-61
pp.43-48
SIS 2010-03-04
16:20
Kanagawa Kanagawa Institute of Technology A Study on Face Recognition Using LAB for Embedded Hardware Implementation
Yutaka Usui (Raytron, Inc/Tottori Univ.), Katsuya Kondo (Tottori Univ.) SIS2009-57
Many fast and accurate face detection system have been proposed. However, it is not easy to implement a face recognition... [more] SIS2009-57
pp.49-52
SIS 2008-12-05
16:20
Osaka Kansai Univ. FPGA Design of AdaBoost-based Sign Recognition for Miniature Robot
Yutaka Usui (RayTron), Katsuya Kondo (tottori univ)
In this report, we propose an FPGA design of sign recognition. The implemented FPGA will be embedded in a moving miniatu... [more] SIS2008-70
pp.157-160
SIS 2007-12-11
11:00
Hyogo   3D Reconstruction by Projective Voxel Space in Video Images -- 3D Reconstruction using Dense Point Set based on Texture Mapping --
Hidekazu Tachibana, Katsuya Kondo, Syoji Kobashi, Yutaka Hata (Univ. of Hyogo) SIS2007-61
Recently, tracking algorithm has been actively researched to reconstruct 3D shape from video images. Currently, it is d... [more] SIS2007-61
pp.19-24
NC 2007-01-25
14:30
Hokkaido Noboribetsu Manseikaku(Noboribetsu) Estimation of Visual Axes during Eye Closure based on Estimating Intensity Profiles by Neural Network from MR Eye Images and Infrared Video Images
Yuji Yahata, Syoji Kobashi (Univ. of Hyogo), Sigeyuki Kan, Masaya Misaki (NICT), Katsuya Kondo (Univ. of Hyogo), Satoru Miyauchi (NICT), Yutaka Hata (Univ. of Hyogo)
Eye movement is one of important index for sleep study. However, it is difficult to measure eye movement and brain funct... [more] NC2006-91
pp.19-24
MI 2006-01-28
15:45
Okinawa Miyakojimashi-Chuo-Kouminkan The knee kinematics analyzing system after TKA by 3D/4D registration technique with predicting knee motion
Toshihiko Tomosada, Syoji Kobashi (Univ. of Hyogo), Nao Shibanuma (Kobe Univ.), Yasuju Takano, Akio Muranaka (JMM Co.), Katsuya Kondo (Univ. of Hyogo), Motoi Yamaguchi, Hirotsugu Muratsu (Kobe Univ.), Yutaka Hata (Univ. of Hyogo), Shinichi Yoshiya (Hyogo College of Med.), Masahiro Kurosaka (Kobe Univ.)
 [more] MI2005-147
pp.155-158
MI 2006-01-28
16:00
Okinawa Miyakojimashi-Chuo-Kouminkan 3-D Distortion Analysis of an Implant in vivo Using Model Estimation with Finite Element Method and Genetic Algorithm
Chika Maeda, Syoji Kobashi (Univ. of Hyogo), Nao Shibanuma (Kaisei Hospital), Katsuya Kondo, Yutaka Hata (Univ. of Hyogo)
 [more] MI2005-148
pp.159-162
 Results 1 - 20 of 20  /   
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