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Teruo Usami

dblp:69/5782 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2Artificial 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
Rendering · 77% Virtual and augmented reality · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
physically based rendering
0.011997
Modeling and Visualization for a Pearl-Quality Evaluation Simulator · IEEE Trans. Vis. Comput. Graph. 1997
Virtual and augmented reality
visual simulation
0.011997
Modeling and Visualization for a Pearl-Quality Evaluation Simulator · IEEE Trans. Vis. Comput. Graph. 1997

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

psychological evaluation · 0.0
YearPublicationVenuePosition
1999 Recognition of multiple objects based on global image consistency
Manabu Hashimoto, Kazuhiko Sumi, Teruo Usami
BMVC3
1997 Modeling and Visualization for a Pearl-Quality Evaluation Simulator
abstract
Visual simulation using CG and VR has attracted wide attention in the machine vision field. This paper proposes a method of modeling and visualizing pearls that will be the central technique of a pearl-quality evaluation simulator. Pearls manifest a very specific optical phenomenon that is not dependent on the direction of the light source. To investigate this feature, we propose a physical model, called an illuminant model for multilayer film interference considering the multiple reflection in spherical bodies. The rendering algorithm has been configured from such representations of physical characteristics as interference, mirroring, and texture, which correspond, respectively, to the sense of depth, brightness, and grain that are the main evaluation factors obtained from psychological experiments. Further, portions of photos of real pearls and the images generated by the present method were evaluated based on a scale of psychological evaluations of pearl-like quality demonstrating, thereby, that not merely the generated images as a whole, but the respective parts of images can present such a pearl-like quality.
Noriko Nagata, Toshimasa Dobashi, Yoshitsugu Manabe, Teruo Usami, Seiji Inokuchi
IEEE Trans. Vis. Comput. Graph.4