Takuya Funatomi

About Takuya Funatomi

Takuya Funatomi, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Nara Institute of Science and Technology, specializes in the field of Computer Vision, Pattern Recognition, Computer Graphics.

His recent articles reflect a diverse array of research interests and contributions to the field:

学習ベース両眼ステレオが持つ事前知識の NeRF への導入

Detection of Multiple Fluorescent Dyes Using Liquid Crystal Variable Retarder and Sparse Modeling

誌上談話会: パターン認識・メディア理解からの展望

Machine learning-based estimation of spatial gene expression pattern during ESC-derived retinal organoid development

Textile image recoloring by polarization observation

Updating Human Pose Estimation using Event-based Camera to Improve Its Accuracy

Efficient Rendering of Glossy Materials by Interpolating Prefiltered Environment Maps based on Primary Normals

Improved Automatic Colorization by Optimal Pre-colorization

Takuya Funatomi Information

University

Position

___

Citations(all)

993

Citations(since 2020)

589

Cited By

600

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

24

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Takuya Funatomi Skills & Research Interests

Computer Vision

Pattern Recognition

Computer Graphics

Top articles of Takuya Funatomi

学習ベース両眼ステレオが持つ事前知識の NeRF への導入

研究報告コンピュータビジョンとイメージメディア (CVIM)

2024/2/25

Detection of Multiple Fluorescent Dyes Using Liquid Crystal Variable Retarder and Sparse Modeling

Electronic Imaging

2024/1/21

誌上談話会: パターン認識・メディア理解からの展望

電子情報通信学会誌= The journal of the Institute of Electronics, Information and Communication Engineers

2024

Machine learning-based estimation of spatial gene expression pattern during ESC-derived retinal organoid development

Scientific Reports

2023/12/20

Textile image recoloring by polarization observation

The Visual Computer

2023/9

Updating Human Pose Estimation using Event-based Camera to Improve Its Accuracy

2023/7/23

Efficient Rendering of Glossy Materials by Interpolating Prefiltered Environment Maps based on Primary Normals

2023/7/23

Improved Automatic Colorization by Optimal Pre-colorization

2023/7/23

代表的な法線に基づいたプレフィルタリング環境マップの補間による光沢面の効率的なレンダリング

研究報告コンピュータグラフィックスとビジュアル情報学 (CG)

2023/6/22

連続組織切片からの 3 次元復元のための位置合わせ全体最適化

研究報告コンピュータビジョンとイメージメディア (CVIM)

2023/2/23

微分可能フォトンマッピングに基づく散乱媒体密度推定

研究報告コンピュータビジョンとイメージメディア (CVIM)

2023/2/23

部分的に着色されたアニメ線画の自動着色精度と着色箇所との関係における一考察

第 85 回全国大会講演論文集

2023/2/16

Hyperspectral Imaging of In-Site Stained Glasses: Illumination Variation Compensation Using Two Perpendicular Scans

2023

Unsupervised learning with a physics-based autoencoder for estimating the thickness and mixing ratio of pigments

JOSA A

2023/1/1

Pigment Mapping for Tomb Murals using Neural Representation and Physics-based Model

2023

Nlos-neus: Non-line-of-sight neural implicit surface

2023

Deep depth from focal stack with defocus model for camera-setting invariance

International Journal of Computer Vision

2023/12/27

Parasitic Egg Detection and Classification by Utilizing the YOLO Algorithm with Deep Latent Space Image Restoration and GrabCut Augmentation

2022/10/16

Direct alignment of narrow field-of-view hyperspectral data and full-view RGB image

2022/10/16

Descattering for transmissive inspection in production line using slanted linear image sensors

Optics Express

2022/10/10

See List of Professors in Takuya Funatomi University(Nara Institute of Science and Technology)

Co-Authors

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