World's Best Scientists 2026 revealed!
Ryutarou Ohbuchi

Ryutarou Ohbuchi

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
40
Citations
8384
World Ranking
9182
National Ranking
129

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Ryutarou Ohbuchi is affiliated with the University of Yamanashi in Japan. Their research primarily spans the fields of Computer Science and Engineering, with a focused expertise in subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Computer Graphics and Computer-Aided Design, and Geology.

Their main research topics include 3D Shape Modeling and Analysis, Advanced Image and Video Retrieval Techniques, Image Processing and 3D Reconstruction, Robotics and Sensor-Based Localization, Computer Graphics and Visualization Techniques, Advanced Neural Network Applications, and Video Surveillance and Tracking Methods.

Ryutarou Ohbuchi has contributed publications to several academic venues. Notable frequent publication venues consist of:

  • IEEE Access
  • arXiv (Cornell University)
  • Scientific Programming
  • The Visual Computer
  • Computer Vision and Image Understanding

Recent papers authored or co-authored by Ryutarou Ohbuchi include:

  • Scale Adaptive Feature Pyramid Networks for 2D Object Detection, 2020, Scientific Programming
  • Transcoding across 3D shape representations for unsupervised learning of 3D shape feature, 2020, Pattern Recognition Letters
  • Hyperplane patch mixing-and-folding decoder and weighted chamfer distance loss for 3D point set reconstruction, 2022, The Visual Computer
  • Self-supervised learning of rotation-invariant 3D point set features using transformer and its self-distillation, 2024, Computer Vision and Image Understanding
  • Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3D Point Set Segmentation, 2020, IEEE Access

Throughout their career, Ryutarou Ohbuchi has collaborated frequently with several co-authors, including:

  • Takahiko Furuya
  • Zhenzhong Kuang
  • Zhoujie Chen
  • Lifei He
  • Ming Jiang

Best Publications

  • Merging virtual objects with the real world: seeing ultrasound imagery within the patient

    Michael Bajura;Henry Fuchs;Ryutarou Ohbuchi

  • Shape-similarity search of 3D models by using enhanced shape functions

    Ryutarou Ohbuchi;Takahiro Minamitani;Tsuyoshi Takei

  • Watermarking three-dimensional polygonal models through geometric and topological modifications

    R. Ohbuchi;H. Masuda;M. Aono

  • Watermaking three-dimensional polygonal models

    Ryutarou Ohbuchi;Hiroshi Masuda;Masaki Aono

  • Salient local visual features for shape-based 3D model retrieval

    R. Ohbuchi;K. Osada;T. Furuya;T. Banno

  • A Frequency‐Domain Approach to Watermarking 3D Shapes

    Ryutarou Ohbuchi;Akio Mukaiyama;Shigeo Takahashi

  • Watermarking 3D polygonal meshes in the mesh spectral domain

    Ryutarou Ohbuchi;Shigeo Takahashi;Takahiko Miyazawa;Akio Mukaiyama

  • Robust watermarking of vector digital maps

    R. Ohbuchi;H. Ueda;S. Endoh

  • A comparison of methods for non-rigid 3D shape retrieval

    Zhouhui Lian;Afzal Godil;Benjamin Bustos;Mohamed Daoudi

  • Shape-similarity search of three-dimensional models using parameterized statistics

    R. Ohbuchi;T. Otagiri;M. Ibato;T. Takei

  • SHREC'11 track: shape retrieval on non-rigid 3D watertight meshes

    Z. Lian;A. Godil;B. Bustos;M. Daoudi

  • Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features

    Takahiko Furuya;Ryutarou Ohbuchi

  • SHREC'10 track: non-rigid 3D shape retrieval

    Z. Lian;A. Godil;T. Fabry;T. Furuya

  • A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

    Bo Li;Yijuan Lu;Chunyuan Li;Afzal Godil

  • A comparison of methods for sketch-based 3D shape retrieval

    Bo Li;Bo Li;Yijuan Lu;Afzal Godil;Tobias Schreck

  • SHREC'17 Track Large-Scale 3D Shape Retrieval From Shapenet Core55

    Manolis Savva;Fisher Yu;Hao Su;Asako Kanezaki

  • Retrieving 3D shapes based on their appearance

    Ryutarou Ohbuchi;Masatoshi Nakazawa;Tsuyoshi Takei

  • Incremental Volume Reconstruction and Rendering for 3D Ultrasound Imaging

    Ryutarou Ohbuchi;David Chen;Henry Fuchs

  • Watermarking 2D vector maps in the mesh-spectral domain

    R. Ohbuchi;H. Ueda;S. Endoh

  • Merging Virtual Objects with the Real World

    Unknown

  • Case study: observing a volume rendered fetus within a pregnant patient

    Andrei State;David T. Chen;Chris Tector;Andrew Brandt

Frequent Co-Authors

Tobias Schreck
Tobias Schreck Graz University of Technology
Petros Daras
Petros Daras Information Technologies Institute, Greece
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Chunyuan Li
Chunyuan Li Microsoft (United States)
Paul L. Rosin
Paul L. Rosin Cardiff University
Paul Suetens
Paul Suetens KU Leuven
Mohamed Daoudi
Mohamed Daoudi IMT Nord Europe
Fatih Porikli
Fatih Porikli Australian National University
Martin Reuter
Martin Reuter University of Bonn

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science studies in the USA opens up a wide range of online degrees and flexible career options. For those seeking to begin quickly, associate's degree online programs offer an accessible introduction to the field. These can be a great starting point for entry-level tech jobs or as a stepping stone to further education.

Many students and professionals are also attracted to shortest master degree programs that allow them to earn an advanced degree in a fraction of the traditional time. These accelerated options can fast-track your tech career and open doors to specialized roles.

Deciding on the right program is crucial—explore the best masters degree to get for strong job prospects. Programs in data science, artificial intelligence, and cybersecurity are particularly in demand.

Finally, finding value is important for many students. Discover affordable online degree programs that let you pursue your education goals without breaking the bank. With so many online options, advancing your computer science career has never been more flexible or accessible.

Best Scientists Citing Ryutarou Ohbuchi

Trending Scientists

Recently Published Articles