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

Goki Inoue

dblp:94/5251 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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 · 50% Geometric modeling and processing · 25% Virtual and augmented reality · 25%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › tracking
camera pose estimation
0.012000
A Unified Linear Algorithm for a Novel View Synthesis and Camera Pose Estimation in Mixed Reality · VR 2000
Geometric modeling and processing › registration
geometric registration
0.012000
A Unified Linear Algorithm for a Novel View Synthesis and Camera Pose Estimation in Mixed Reality · VR 2000
Rendering
image-based rendering
0.012000
A Unified Linear Algorithm for a Novel View Synthesis and Camera Pose Estimation in Mixed Reality · VR 2000
Rendering
novel view synthesis
0.012000
A Unified Linear Algorithm for a Novel View Synthesis and Camera Pose Estimation in Mixed Reality · VR 2000

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

matching constraints · 0.0linear algorithm · 0.0
YearPublicationVenuePosition
2000 A Unified Linear Algorithm for a Novel View Synthesis and Camera Pose Estimation in Mixed Reality
abstract
We propose a linear algorithm that is useful for realizing geometric registration between the view of a real scene and that of a virtual object in an image-based rendering framework. In a unified framework, the novel view synthesis of a virtual object based on three views' matching constraints and the recovery of the camera pose that is necessary for the base image selection can be performed. The feasibility of the algorithm is demonstrated by using ground-truth synthesized data and real scene data.
Toshihiro Kobayashi, Goki Inoue, Yuichi Ohta, Long Quan
VR2