Updated on 2021/12/17

写真a

 
MATSUSHITA Yuki
 
Organization
Research Field in General Educathion, Integrated Arts and Sciences Area Center for Research and Development in Higher Education, Institute for Comprehensive Education

Degree

  • 博士(工学) ( 2018.3   鹿児島大学 )

Research Interests

  • Computer Vision

  • Image Processing

Research Areas

  • Informatics / Perceptual information processing

Research History

  • Kagoshima University   Research Field in General Educathion, Integrated Arts and Sciences Area Center for Research and Development in Higher Education, Institute for Comprehensive Education

    2020.5

 

Papers

  • Yuki Matsushita, Hiroshi Kawasaki, Teruhisa Takano, Shintaro Ono, Katsushi Ikeuchi .  Joint technique of fine object boundary recovery and foreground image deblur for video including moving objects. .    10338   103380   2017.5Reviewed

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1117/12.2266746

    Scopus

  • Yuki Matsushita; Hiroshi Kawasaki; Shintaro Ono; Katsushi Ikeuchi .  Simultaneous deblur and super-resolution technique for video sequence captured by hand-held video camera. .  2014 IEEE International Conference on Image Processing (ICIP)   2015.1Simultaneous deblur and super-resolution technique for video sequence captured by hand-held video camera.Reviewed

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • TAKANO Teruhisa, MATSUSHITA Yuuki, ONO Shintaro, KAWASAKI Hiroshi, IKEUCHI Katsushi .  Super Resolution of Fisheye Images Captured by On-Vehicle Camera for Visibility Support .  SEISAN KENKYU67 ( 2 ) 99 - 104   2015Reviewed

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    Language:Japanese   Publisher:Institute of Industrial Science The University of Tokyo  

    Fisheye cameras are widely adopted in the back view camera of vehicles and the surveillance camera. Compared to the normal digital cameras, their resolution and image quality are low. In this paper, we propose a method to restore the high resolution images from the fisheye camera by the reconstructured type of super resolution. First, we undistort the fisheye images and regularize these images. Then we super-resolve these regularized images. Blur kernel for super resolution includes the lens blur and the expansion and reduction by the undistortion. The experimental results confirms to the effectiveness of our method which applies to the images captured by the digital camera with fish-eye lens.

    DOI: 10.11188/seisankenkyu.67.99

    Web of Science

    CiNii Books

MISC

  • Development of an Image Processing Based Presentation Review Support System : Similarity Estimation Based on Behavioral Trends

    20 ( 1 )   21 - 27   2020.5

  • Evaluation of Global Localization method of Vehicle Mounted Video using Deep Learning

    YAMAGUCHI Kanji, FUKUMOTO Kazuma, MATSUSHITA Yuki, KAWASAKI Hiroshi, ONO Shintaro, IKEUCHI Katsushi

    SEISAN KENKYU   68 ( 2 )   115 - 121   2016

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    Language:Japanese   Publisher:Institute of Industrial Science The University of Tokyo  

    In recent years, by the spread of sharing services of images and videos, we have come to be able to acquire landscape images and vehicle mounted videos of several cities in the world from the Internet. This information will be useful for scene understanding, the three-dimensional model generation of the city and the frequent update of the map, but may provide the wrong information when the data has no correct geographical information. On the other hand, many researchers try to take the information that a human being perceives out of the information about the scene and study on labeling of the scene, but there are few successful methods to identify images taken from plural cities. Therefore, we aim for the global localization of images which are taken in various cities in the world using only the visual information. To this end, we learned the information of each city from a Google street view image and constructed the city identi_cation database, then estimated the city where an inputted image taken from. In ordert to con_rm the effectiveness of proposed methods, we proved it using images acquired from 15 cities and obtained several knowledge.

    DOI: 10.11188/seisankenkyu.68.115

    CiNii Books

  • Super Resolution of Fisheye Camera Images with Widely Varying Resolution

    Teruhisa Takano, Yuuki Matsushita, Shintaro Ono, Hiroshi Kawasaki, Katsushi Ikeuchi

    IPSJ SIG Notes. CVIM   2014 ( 35 )   1 - 6   2014.5

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    Publisher:Information Processing Society of Japan (IPSJ)  

    Fisheye cameras are widely adopted in the back view camera of vehicles and the surveillance camera. Compared to the normal digital cameras, their resolution and image quality are low. In this paper, we propose a method to restore the high resolution images from the fisheye camera by the reconstructured type of super resolution. First, we undistort the fisheye images and regularize these images. Then we super-resolve these regularized images. Blur kernel for super resolution includes the lens blur and the expansion and reduction by the undistortion. The experimental results confirms to the effectiveness of our method which applies to the images captured by the digital camera with fish-eye lens.

    CiNii Books