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Akio Murata

dblp:57/3453 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Artificial intelligence and machine learning · 4Graphics, computer vision, multimedia, augmented reality and games · 3

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.

Artificial intelligence
1 paper
3D vision · 100%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 50% Computational photography and imaging · 50%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d shape reconstruction
0.012000
Acquiring a Complete 3D Model from Specular Motion under the Illumination of Circular-Shaped Light Sources · IEEE Trans. Pattern Anal. Mach. Intell. 2000
Computer vision › 3D vision
photometric stereo
0.012000
Acquiring a Complete 3D Model from Specular Motion under the Illumination of Circular-Shaped Light Sources · IEEE Trans. Pattern Anal. Mach. Intell. 2000
Computer vision › 3D vision › 3d shape reconstruction
specular surface reconstruction
0.012000
Acquiring a Complete 3D Model from Specular Motion under the Illumination of Circular-Shaped Light Sources · IEEE Trans. Pattern Anal. Mach. Intell. 2000
Geometric modeling and processing
3d reconstruction
0.011998
Acquiring 3D Object Models from Specular Motion Using Circular Lights Illumination · ICCV 1998

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

epipolar plane image analysis · 0.0specular trace · 0.0circular light illumination · 0.0
YearPublicationVenuePosition
2000 Acquiring a Complete 3D Model from Specular Motion under the Illumination of Circular-Shaped Light Sources
abstract
We recover 3D models of objects with specular surfaces. An object is rotated and its continuous images are taken. Circular-shaped light sources that generate conic rays are used to illuminate the rotating object in such a way that highlighted stripes can be observed on most of the specular surfaces. Surface shapes can be computed from the motions of highlights in the continuous images; either specular motion stereo or single specular trace mode can be used. When the lights are properly set, each point on the object can be highlighted during the rotation. The shape for each rotation plane is measured independently using its corresponding epipolar plane image. A 3D shape model is subsequently reconstructed by combining shapes at different rotation planes. Computing a shape is simple and requires only the motion of highlight on each rotation plane. The novelty of this paper is the complete modeling of a general type of specular objects that has not been accomplished before.
Jiang Yu Zheng, Akio Murata
IEEE Trans. Pattern Anal. Mach. Intell.2
1998 Generating 3D Models of Objects Using Multiple Visual Cues in Image Sequences
Jiang Yu Zheng, Akio Murata, Norihiro Abe
ACCV (2)2
1998 Acquiring 3D Object Models from Specular Motion Using Circular Lights Illumination
abstract
This work recovers 3D graphics models of objects with specular surfaces. An object is rotated and continuous images of it are taken. Circular lights that generate cones of rays are used to illuminate the rotating object. When the lights are properly set each point on the object can be highlighted during the rotation. The shape for each rotational plane is measured independently using its corresponding epipolar plane image. A 3D graphics model is subsequently reconstructed by combining shapes at different rotation planes. Computing a shape is simple and requires only the motion of the highlight on each rotation plane. Results not obtained before are given in the 3D shape recovery experiments on real objects.
Jiang Yu Zheng, Akio Murata
ICCV2
1996 Reconstruction of 3D models from specular motion using circular lights
abstract
This paper generalizes a shape recovery method for specular surfaces. We have use linear lights that generate planes of ray to highlight a rotating object so that its specular surfaces are computed from continuous images. By setting lights properly, shape at each rotation plane can be measured and a 3D graphics model can be subsequently reconstructed. In this paper, we extend the lights used to circular ones to produce cones of ray. Under such illuminations, all surface points with different normals are highlighted in a rotation period. The computation of shape is simpler than compared with the linear light case. We give results of shape recovery on real objects.
Jiang Yu Zheng, Akio Murata, Yoshihiro Fukagawa, Norihiro Abe
ICPR2