Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Ryo Ohtera

dblp:62/4258 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
1since 2021 · last 2026
—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-author · 1 since 2021Artificial intelligence and machine learning · 1 · 1 first-author

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
Rendering · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
physically based rendering
1.012026
Spectral Image Rendering of Fluorescent Objects Using a Conventional Renderer · IEEE Trans. Vis. Comput. Graph. 2026
Rendering › physically based rendering
spectral rendering
1.012026
Spectral Image Rendering of Fluorescent Objects Using a Conventional Renderer · IEEE Trans. Vis. Comput. Graph. 2026
Rendering
global illumination
0.312026
Spectral Image Rendering of Fluorescent Objects Using a Conventional Renderer · IEEE Trans. Vis. Comput. Graph. 2026
Rendering › global illumination
indirect illumination
0.312026
Spectral Image Rendering of Fluorescent Objects Using a Conventional Renderer · IEEE Trans. Vis. Comput. Graph. 2026

Methods — techniques the papers use, named apart from their topics

sparse emitter discretization · 1.0donaldson matrix · 1.0
YearPublicationVenuePosition
2026 Spectral Image Rendering of Fluorescent Objects Using a Conventional Renderer
abstract
We propose a practical spectral image rendering method for fluorescent objects using a renderer that does not natively support wavelength-shifting transport. For scenes composed of matte fluorescent and non-fluorescent surfaces, the illumination incident on a target fluorescent object is classified into three types: (1) direct illumination from a light source, (2) indirect illumination reflected from other reflective objects, and (3) luminescent illumination emitted from other fluorescent objects. We express the radiance observed on a fluorescent surface as a linear combination of five terms: reflection and fluorescence under direct illumination, reflection and fluorescence under indirect illumination, and reflection induced by luminescent illumination emitted by other fluorescent surfaces. Assuming isotropic emission and single-bounce fluorescence, the fluorescent shading terms reuse the diffuse-reflection shading produced by the renderer, while measured Donaldson matrices provide the wavelength conversion. Mitsuba is used as the underlying conventional rendering system. Experiments conducted with a physically built Cornell Box validate the proposed method through comparisons with direct measurements and an existing fluorescence-capable renderer. Finally, we demonstrate an extension to non-planar fluorescent objects via sparse emitter discretization.
Shoji Tominaga, Giuseppe Claudio Guarnera, Ryo Ohtera
IEEE Trans. Vis. Comput. Graph.3
2007 Eye-Gaze Detection from Monocular Camera Image Using Parametric Template Matching
Ryo Ohtera, Takahiko Horiuchi, Shoji Tominaga
ACCV (1)1