Masatoshi Okutomi

10.7k citations
217 papers · 5.9k indexed · 3 hit papers · h-index 38

Masatoshi Okutomi

202 papers receiving 5.6k citations

Hit Papers

Single-Image Noise Level Estimati...3091993202620042015200400600

Peers

Masatoshi Okutomi
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 5.0k
  • Media Technology 1.7k
  • Aerospace Engineering 1.8k
  • Computer Graphics and Computer-Aided Design 245
  • Geology 338
Replace Yuchao Dai with:
Yuchao Dai China
Alexey Dosovitskiy Germany
In So Kweon South Korea
Kui Jia China
Paolo Favaro Switzerland
Yu‐Wing Tai China
Victor Lempitsky Russia
Jianzhuang Liu China
Rick Szeliski United States
Junjun Jiang China
Masatoshi Okutomi relative to Yuchao Dai China Yuchao Dai's profile →
Citations per field
00.5×3.8×
Yuchao Dai · 1×
Citations per year

Countries citing papers authored by Masatoshi Okutomi

Since Specialization
Citations

This map shows the geographic impact of Masatoshi Okutomi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masatoshi Okutomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Okutomi more than expected).

Fields of papers citing papers by Masatoshi Okutomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masatoshi Okutomi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masatoshi Okutomi. The network helps show where Masatoshi Okutomi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Masatoshi Okutomi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masatoshi Okutomi Line = papers co-authored together Masatoshi Okutomi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20233
4 20234
5 202231
6 2020113
7 202016
8 201936
9 201843
10 201435
11
Image Denoising with Non-local Principal Component Analysis
20131
12 201326
13 2012146
14 20110
15
20084
16
Fast Plane Parameter Estimation From Stereo Images
20070
17
Simultaneous Improvement of Image Quality and Depth Estimation using Stereo Images
20051
18 20040
19
Shape Estimation of Rotating Object Using Spacio - temporal Images
19990
20
Surface Reconstruction with Triangular Patches from Multiscale Range Images.
19921

About Masatoshi Okutomi

Masatoshi Okutomi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 217 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (101 papers), Advanced Image Processing Techniques (60 papers), Robotics and Sensor-Based Localization (50 papers), Image Enhancement Techniques (45 papers), Image and Signal Denoising Methods (42 papers), Optical measurement and interference techniques (38 papers), Advanced Image and Video Retrieval Techniques (31 papers) and Advanced Image Fusion Techniques (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.0k citations), Media Technology (1.7k citations) and Aerospace Engineering (1.8k citations). Masatoshi Okutomi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takeo Kanade, Masayuki Tanaka, Yusuke Monno, Xinhao Liu, Shigeki Sugimoto, Akihiko Torii, Masao Shimizu, Tomáš Pajdla, Josef Šivic and Daisuke Kiku. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Sensors Journal, International Journal of Computer Vision and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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