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Chi-Kuo Yu

dblp:09/3311 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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
Virtual and augmented reality · 61% Computational photography and imaging · 30% Visual content generation and editing · 9%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality
0.011999
New Calibration-free Approach for Augmented Reality based on Parameterized Cuboid Structure · ICCV 1999
Virtual and augmented reality › augmented reality
calibration-free augmented reality
0.011999
New Calibration-free Approach for Augmented Reality based on Parameterized Cuboid Structure · ICCV 1999
Computational photography and imaging › camera calibration
camera parameter estimation
0.011999
New Calibration-free Approach for Augmented Reality based on Parameterized Cuboid Structure · ICCV 1999
Visual content generation and editing › image editing › image compositing
object insertion
0.011999
New Calibration-free Approach for Augmented Reality based on Parameterized Cuboid Structure · ICCV 1999

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

parameterized cuboid structure · 0.0
YearPublicationVenuePosition
1999 New Calibration-free Approach for Augmented Reality based on Parameterized Cuboid Structure
abstract
A new method called PCS (parameterized cuboid structure) is presented for augmented reality. In particular, our method can insert animated virtual objects into a static scene, with geometric consistency, and also allow the user to interactively position and rotate the virtual objects with respect to a world coordinate system in a physically (or intuitively) meaningful way. Such capability cannot be achieved by using the existing calibration-free methods. To achieve this goal, we develop a new method for estimating camera parameters, which uses a cuboid structure (or more generally, a parallelepiped structure) as the reference object. The reference cuboid structure can be either explicit or implicit-implicit in the sense that the cuboid structure can be inferred by human perception even though it does not appear explicitly in the image. This method can determine the sizes of the cuboid (or parallelepiped) as well as the intrinsic and extrinsic parameters of the camera. To insert a virtual object into a single uncalibrated image, some human interaction is unavoidable. We have implemented an AR authoring system based on the proposed PCS method which provides an auxiliary line and a refinement criterion to assist human interaction. Experimental results have demonstrated that our method can successfully insert virtual objects into both static and dynamic scenes with highly convincing geometric consistency.
Chu-Song Chen, Chi-Kuo Yu, Yi-Ping Hung
ICCV2