Sugaya Yasuyuki

Affiliation and department：
Job title：准教授

Research field (1)： Intelligent informatics

Research keywords (5)： Motion segmentation , Ellipse detection , Diminished Reality , Mixed Reality , Computer Vision

Research theme for competitive and other funds (9)：

2018 - 2021 Improvement of geometric transformation of multi-view images and its applications for sport
2014 - 2017 High accurate and stable circuler object detection based on ellipse fitting
2011 - 2013 Developing a segmentation method based on automatic background estimation from a video images
2012 - 2012 Establishing Hyper-Renormalization for Geometric Estimation from Images
2009 - 2011 Optimal 3-D Reconstruction from Multiple Images by Means of Orthogonal Projection in High-dimensional Spaces

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Papers (54)：

Yusei Matsushita, Yasuyuki Sugaya. 直交射影に基づく点特徴と線特徴を用いたハイブリッドなカメラ姿勢推定. 2024
Kenta Sohara, Yasuyuki Sugaya. 3-D Tennis Ball Trajectory Estimation from Multi-view Videos and Its Parameterization by Parabola Fitting. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2022. 769-776
益崎智成, 関正貴, 菅谷保之. Ellipse Detection by Effective Elliptic Arc Extraction and Integration Using Geometric MDL. 情報処理学会論文誌ジャーナル(Web). 2018. 59. 3. 951-960
Tomonari Masuzaki, Yasuyuki Sugaya. Effective elliptic arc selection from connected edge points. IPSJ Transactions on Computer Vision and Applications. 2016. 8. 1. 1-11
Yutaro Sako, Yasuyuki Sugaya. Multibody motion segmentation for an arbitrary number of independent motions. IPSJ Transactions on Computer Vision and Applications. 2016. 8. 1. 1-5

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MISC (80)：

Arc point selection and arc point integration for efficient ellipse detection. 2016. 116. 89. 105-110
Yutaro Sako, Yasuyuki Sugaya. Image selection method for accurate 3-D reconstruction from a large collection of images. IPSJ SIG Notes. CVIM. 2014. 2014. 9. 1-6
Erika Sanga, Yasuyuki Sugaya. Virtual 3-D View: Developing a 360° object display system without 3-D reconstruction. IPSJ SIG Notes. CVIM. 2014. 2014. 8. 1-7
Masaki Hatanaka, Yasuyuki Sugaya. Hand marker mixed reality system by robust hand tracking. IPSJ SIG Notes. CVIM. 2014. 2014. 7. 1-8
3-D Shape Reconstruction from Three Views by Decomposing Three Fundamental Matrices. 2013. 2013. 15. 1-8

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Books (3)：

3次元コンピュータビジョン計算ハンドブック
森北出版 2016 ISBN:4627817916
Ellipse fitting for computer vision : implementation and applications
Morgan & Claypool Publishers 2016 ISBN:9781627054584
入門GTK+
オーム社 2009 ISBN:4274067769

Lectures and oral presentations (53)：

3-D Tennis Ball Trajectory Estimation from Multi-view Videos and Its Parameterization by Parabola Fitting
(17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2022)
Bullet-time image generation without 3-D
(IAPR International Conference on Machine Vision Applications(MVA2019) 2019)
仮のカメラ運動に基づいた対応点とカメラ運動の同時推定
(Meeting on Image Recognition and Understanding 2018)
運動分離のための軌跡のクラスタリングよるアウトライア検出と分離性能の向上
(Meeting on Image Recognition and understanding 2018)
バレットタイム動画生成を目的とした3次元情報を用いない注視画像生成
(Meeting on Image Recognition and Understanding 2018)

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Committee career (2)：

Awards (2)：

2009 - IEEE Pacific-Rim Symposium on Image and Video Technology (PSIVT2009) Best Paper Award Compact fundamental matrix computation
2004 - 電子情報通信学会論文賞 Multi-stage optimization for multi-body motion segmentation

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