Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ken Nawyn
dblp:87/4977
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, 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 › image registration
deformable image registration |
0.0 | 1 | 1994 | Three-dimensional elastic matching of volumes · IEEE Trans. Image Process. 1994 |
Image and video processing › image registration
elastic matching |
0.0 | 1 | 1994 | Three-dimensional elastic matching of volumes · IEEE Trans. Image Process. 1994 |
Image and video processing
image registration |
0.0 | 1 | 1994 | Three-dimensional elastic matching of volumes · IEEE Trans. Image Process. 1994 |
Methods — techniques the papers use, named apart from their topics
warping · 0.0triangular patch surface models · 0.0active contours · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Three-dimensional elastic matching of volumesabstractRegistering volumes that have been deformed with respect to each other involves recovery of the deformation. A 3-D elastic matching algorithm has been developed to use surface information for registering volumes. Surface extraction is performed in two steps: extraction of contours in 2-D image planes using active contours, and forming triangular patch surface models from the stack of 2-D contours. One volume is modeled as being deformed with respect to another goal volume. Correspondences between surfaces in the two image volumes are used to warp the deformed volume towards its goal. This process of contour extraction, surface formation and matching, and warping is repeated a number of times, with decreasing image volume stiffness. As the iterations continue the stretched volume is refined towards its goal volume. Registration examples of deformed volumes are presented. Mehran Moshfeghi, Surendra Ranganath, Ken Nawyn |
IEEE Trans. Image Process. | 3 |