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Misaki Meguro

dblp:214/9637 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorArtificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%
Artificial intelligence
1 paper
Image recognition and object detection · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection
image classification
0.312018
Coded Illumination and Imaging for Fluorescence Based Classification · ECCV (8) 2018
Computational photography and imaging › active illumination
coded illumination
0.312018
Coded Illumination and Imaging for Fluorescence Based Classification · ECCV (8) 2018
Computational photography and imaging › image acquisition
fluorescence imaging
0.312018
Coded Illumination and Imaging for Fluorescence Based Classification · ECCV (8) 2018
YearPublicationVenuePosition
2018 Coded Illumination and Imaging for Fluorescence Based Classification
Yuta Asano, Misaki Meguro, Antony Lam, Yinqiang Zheng, Takahiro Okabe, Imari Sato
ECCV (8)2
2017 Visibility enhancement of fluorescent substance under ambient illumination using flash photography
abstract
Many natural and manmade objects contain fluorescent substance. To visualize the distribution of fluorescence emitting substance is of great importance for food freshness examination, molecular dynamics analysis and so on. Unfortunately, the presence of fluorescent substance is usually imperceptible under strong ambient illumination, since fluorescent emission is relatively weak compared with surface reflectance. Even assuming that surface reflectance could be somehow blocked out, shading effect on fluorescent emission that relates to surface geometry would still interfere with visibility of fluorescent substance in the scene. In this paper, we propose a visibility enhancement method to better visualize the distribution of fluorescent substance under unknown and uncontrolled ambient illumination. By using an image pair captured with UV and visible flash illumination, we obtain a shading-free luminance image that visualizes the distribution of fluorescent emission. We further replace the luminance of the RGB image under ambient illumination by using this fluorescent emission luminance, so as to obtain a full colored image. The effectiveness of our method has been verified when used to visualize weak fluorescence from bacteria on rotting cheese and meat.
Misaki Meguro, Yuta Asano, Yinqiang Zheng, Imari Sato
ICIP1