Demo Data from SIGIR 2026 / reviewers in the wild / expert
Gus K. Lott III
dblp:150/6051
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial 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
1 paper |
Geometric modeling and processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › collision detection
distance computation |
0.2 | 1 | 2014 | Direct Orthogonal Distance to Quadratic Surfaces in 3D · IEEE Trans. Pattern Anal. Mach. Intell. 2014 |
Geometric modeling and processing › surface fitting
quadric surface fitting |
0.2 | 1 | 2014 | Direct Orthogonal Distance to Quadratic Surfaces in 3D · IEEE Trans. Pattern Anal. Mach. Intell. 2014 |
Methods — techniques the papers use, named apart from their topics
polynomial root finding · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Direct Orthogonal Distance to Quadratic Surfaces in 3DabstractDiscovering the orthogonal distance to a quadratic surface is a classic geometric task in vision, modeling, and robotics. I describe a simple, efficient, and stable direct solution for the orthogonal distance (foot-point) to an arbitrary quadratic surface from a general finite 3D point. The problem is expressed as the intersection of three quadratic surfaces, two of which are derived from the requirement of orthogonality of two non-coincident planes with the tangent plane to the quadric. A sixth order single-variable polynomial is directly generated in one coordinate of the surface point. The method detects intersection points at infinity and operates smoothly across all real quadratic surface classes. The method also geometrically detects continuums of orthogonal points (i.e., from the exact center of a sphere). I discuss algorithm performance, compare it to a state-of-the-art estimator, demonstrate the algorithm on synthetic data, and describe extension to arbitrary dimension. Gus K. Lott III |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |