Demo Data from VLDB 2026 / reviewers in the wild / expert
Monti R. Wilson
dblp:140/9363
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 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 |
Image and video processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing
edge detection |
0.0 | 1 | 1990 | Automatic registration of color separation films · ICRA 1990 |
Image and video processing
image registration |
0.0 | 1 | 1990 | Automatic registration of color separation films · ICRA 1990 |
Image and video processing
halftone image processing |
0.0 | 1 | 1990 | Automatic registration of color separation films · ICRA 1990 |
Methods — techniques the papers use, named apart from their topics
rigid planar transform estimation · 0.0line segment approximation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | The RegiStar Machine: from conception to installationabstractThe authors have developed a machine to perform the task of automatic registration of color separation films, a process manually performed by skilled professionals in the graphics arts printing industry. The development of such a machine requires overcoming significant challenges: designing a sound computer vision methodology while respecting hard timing constraints, transferring software across platforms and languages, validating the software, building the actual machine around the algorithms, testing the conformity to tolerances, educating operators on the use of such a machine, and having a system robust enough to operate around the clock with no technical supervision. The authors present a brief overview of the problem, followed by the answers they provided to the challenges above.> Gérard G. Medioni, Andres Huertas, Monti R. Wilson |
WACV | 3 |
| 1990 | Automatic registration of color separation filmsabstractThe problem of registration of four-color halftone separations for color printing is addressed. A method is presented for automatic registration of color separation films. An operator manually selects two windows from the reference negative (generally cyan) with a digitizing cursor, and each window covering approximately 6 mm/sup 2/ (0.25 in/sup 2/) is digitized into a 640*640 array. On each negative and for each window, the macro edges are extracted, and the contours are approximated by line segments. The segments from corresponding windows on different negatives are then matched with the reference ones to provide an estimate of the translation between them. The two translations (from the two windows) provide the parameters of the rigid planar transform between negatives (rotation and translation) and permit the punching of registration holes into the pictures for each negative. The system has been implemented in the RegiStar machine, built to perform the mechanical tasks associated with the algorithm. It is able to handle a set of four-color separations in about 5 min, from image acquisition to punching of registration holes on the films, maintaining an accuracy of 12 mu m (0.5 mil) for binary patterns and 25 mu m (1 mil) for true halftones. This speed is obtained by using an off-the-shelf Mercury array processor attached to an IBM personal computer.> Gérard G. Medioni, Monti R. Wilson, Andres Huertas |
ICRA | 2 |
| 1990 | Automatic registration of color separation films
Gérard G. Medioni, Andres Huertas, Monti R. Wilson |
Mach. Vis. Appl. | 3 |