VLDB 2026 Research / reviewers in the wild / expert
Ray Juang
dblp:88/2738
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorArtificial intelligence and machine learning · 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
2 papers |
Computational photography and imaging · 36% Visualization and visual analytics · 36% Geometric modeling and processing · 23% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
display technology |
0.1 | 1 | 2007 | Registration Techniques for Using Imperfect and Par tially Calibrated Devices in Planar Multi-Projector Displays · IEEE Trans. Vis. Comput. Graph. 2007 |
Geometric modeling and processing › registration
geometric registration |
0.1 | 1 | 2007 | Registration Techniques for Using Imperfect and Par tially Calibrated Devices in Planar Multi-Projector Displays · IEEE Trans. Vis. Comput. Graph. 2007 |
Visualization and visual analytics › display technology
multi-projector display calibration |
0.1 | 1 | 2007 | Registration Techniques for Using Imperfect and Par tially Calibrated Devices in Planar Multi-Projector Displays · IEEE Trans. Vis. Comput. Graph. 2007 |
Computational photography and imaging › camera calibration
photometric calibration |
0.1 | 1 | 2007 | Photometric Self-Calibration of a Projector-Camera System · CVPR 2007 |
Computational photography and imaging › projector-camera systems
projector-camera calibration |
0.1 | 1 | 2007 | Photometric Self-Calibration of a Projector-Camera System · CVPR 2007 |
Geometric modeling and processing
3d reconstruction |
0.0 | 1 | 2007 | Photometric Self-Calibration of a Projector-Camera System · CVPR 2007 |
Virtual and augmented reality › immersive display
multi-projector display |
0.0 | 1 | 2007 | Photometric Self-Calibration of a Projector-Camera System · CVPR 2007 |
Methods — techniques the papers use, named apart from their topics
vignetting estimation · 0.1rational bezier patches · 0.1gamma function estimation · 0.1closed-form model · 0.1camera-based calibration · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Photometric Self-Calibration of a Projector-Camera SystemabstractIn this paper, we present a method for photometric self- calibration of a projector-camera system. In addition to the input transfer functions (commonly called gamma functions), we also reconstruct the spatial intensity fall-off from the center to fringe (commonly called the vignetting effect) for both the projector and camera. Projector-camera systems are becoming more popular in a large number of applications like scene capture, 3D reconstruction, and calibrating multi-projector displays. Our method enables the use of photometrically uncalibrated projectors and cameras in all such applications. Ray Juang, Aditi Majumder |
CVPR | 1 |
| 2007 | Registration Techniques for Using Imperfect and Par tially Calibrated Devices in Planar Multi-Projector DisplaysabstractMulti-projector displays today are automatically registered, both geometrically and photometrically, using cameras. Existing registration techniques assume pre-calibrated projectors and cameras that are devoid of imperfections such as lens distortion. In practice, however, these devices are usually imperfect and uncalibrated. Registration of each of these devices is often more challenging than the multi-projector display registration itself. To make tiled projection-based displays accessible to a layman user we should allow the use of uncalibrated inexpensive devices that are prone to imperfections. In this paper, we make two important advances in this direction. First, we present a new geometric registration technique that can achieve geometric alignment {\em in the presence of severe projector lens distortion} using a relatively inexpensive low-resolution camera. This is achieved via a closed-form model that relates the projectors to cameras, in planar multi-projector displays, using rational Bezier patches. This enables us to geometrically calibrate a 3000 x 2500 resolution planar multi-projector display made of 3 x 3 array of nine severely distorted projectors using a low resolution (640 x 480) VGA camera. Second, we present a photometric self-calibration technique for a projector-camera pair. This allows us to photometrically calibrate the same display made of nine projectors using a photometrically uncalibrated camera. To the best of our knowledge, this is the first work that allows geometrically imperfect projectors and photometrically uncalibrated cameras in calibrating multi-projector displays. Ezekiel S. Bhasker, Ray Juang, Aditi Majumder |
IEEE Trans. Vis. Comput. Graph. | 2 |