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Hirotaka Asayama

dblp:174/7340 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 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
Computational photography and imaging · 38% Geometric modeling and processing · 38% Computational fabrication · 23%

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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › registration
geometric registration
0.312018
Fabricating Diminishable Visual Markers for Geometric Registration in Projection Mapping · IEEE Trans. Vis. Comput. Graph. 2018
Computational photography and imaging
projection mapping
0.312018
Fabricating Diminishable Visual Markers for Geometric Registration in Projection Mapping · IEEE Trans. Vis. Comput. Graph. 2018
Computational fabrication
additive manufacturing
0.112018
Fabricating Diminishable Visual Markers for Geometric Registration in Projection Mapping · IEEE Trans. Vis. Comput. Graph. 2018
Computational fabrication › additive manufacturing
multi-material 3d printing
0.112018
Fabricating Diminishable Visual Markers for Geometric Registration in Projection Mapping · IEEE Trans. Vis. Comput. Graph. 2018

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

stereo camera pose estimation · 0.3radiometric compensation · 0.3genetic algorithm · 0.3
YearPublicationVenuePosition
2018 Fabricating Diminishable Visual Markers for Geometric Registration in Projection Mapping
abstract
We propose a visual marker embedding method for the pose estimation of a projection surface to correctly map projected images onto the surface. Assuming that the surface is fabricated by a full-color or multi-material three-dimensional (3D) printer, we propose to automatically embed visual markers on the surface with mechanical accuracy. The appearance of the marker is designed such that the marker is detected by infrared cameras even when printed on a non-planar surface while its appearance can be diminished by the projection to be as imperceptible as possible to human observers. The marker placement is optimized using a genetic algorithm to maximize the number of valid viewpoints from which the pose of the object can be estimated correctly using a stereo camera system. We also propose a radiometric compensation technique to quickly diminish the marker appearance. Experimental results confirm that the pose of projection objects are correctly estimated while the appearance of the markers was diminished to an imperceptible level. At the same time, we confirmed the limitations of the current method; only one object can be handled, and pose estimation is not performed at interactive frame rates. Finally, we demonstrate the proposed technique to show that it works successfully for various surface shapes and target textures.
Hirotaka Asayama, Daisuke Iwai, Kosuke Sato
IEEE Trans. Vis. Comput. Graph.1