VLDB 2026 Research / reviewers in the wild / expert
Irina A. Kogan
dblp:58/1857
· DBLP profile ↗
9ranked-venue papers
2as first author
2since 2021 · last 2026
0000-0001-8212-6296ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 6 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Equi-affine minimal-degree moving frames for polynomial curves
Hoon Hong, Irina A. Kogan |
J. Symb. Comput. | 2 |
| 2023 | Invariants: Computation and ApplicationsabstractInvariants withstand transformations and, therefore, represent the essence of objects or phenomena. In mathematics, transformations often constitute a group action. Since the 19th century, studying the structure of various types of invariants and designing methods and algorithms to compute them remains an active area of ongoing research with an abundance of applications. In this incredibly vast topic, we focus on two particular themes displaying a fruitful interplay between the differential and algebraic invariant theories. First, we show how an algebraic adaptation of the moving frame method from differential geometry leads to a practical algorithm for computing a generating set of rational invariants. Then we discuss the notion of differential invariant signature, its role in solving equivalence problems in geometry and algebra, and some successes and challenges in designing algorithms based on this notion. Irina A. Kogan |
ISSAC | 1 |
| 2017 | Algorithm for computing μ-bases of univariate polynomials
Hoon Hong, Zachary Hough, Irina A. Kogan |
J. Symb. Comput. | 3 |
| 2012 | Object-image correspondence for curves under central and parallel projectionsabstractWe present a novel algorithm for deciding whether a given planar curve is an image of a given spatial curve, obtained by a central or a parallel projection with unknown parameters. A straightforward approach to this problem consists of setting up a system of conditions on the projection parameters and then checking whether or not this system has a solution. The computational advantage of the algorithm presented here, in comparison to algorithms based on the straightforward approach, lies in a significant reduction of a number of real parameters that need to be eliminated in order to establish existence or non-existence of a projection that maps a given spatial curve to a given planar curve. Our algorithm is based on projection criteria that reduce the projection problem to a certain modification of the equivalence problem of planar curves under affine and projective transformations. The latter problem is then solved using a separating set of rational differential invariants. A similar approach can be used to solve the projection problem for finite lists of points. The motivation comes from the problem of establishing a correspondence between an object and an image, taken by a camera with unknown position and parameters. Joseph M. Burdis, Irina A. Kogan |
SCG | 2 |
| 2007 | 3D Mixed Invariant and its Application on Object ClassificationabstractA new integro-differential invariant for curves in 3D transformed by affine group action is presented in this paper. The derivatives involved are of the first order, and therefore this invariant is significantly less sensitive to noise than classical affine differential invariants, the simplest of which involves derivatives of order 5. A classification procedure based on characteristic curves of an object surface is considered using our proposed mixed invariants. Substantiating examples are provided to verify efficiency and discriminant power of the characteristic spatial curve based 3D object classification. Djamila Aouada, Hamid Krim, Irina A. Kogan |
ICASSP (1) | 4 |
| 2007 | Integral invariants for 3D curves: an inductive approachabstractIn this paper we obtain, for the first time, explicit formulae for integral invariants for curves in 3D with respect to the special and the full affine groups. Using an inductive approach we first compute Euclidean integral invariants and use them to build the affine invariants. The motivation comes from problems in computer vision. Since integration diminishes the effects of noise, integral invariants have advantage in such applications. We use integral invariants to construct signatures that characterize curves up to the special affine transformations. Irina A. Kogan, Hamid Krim |
VCIP | 2 |
| 2007 | Rational invariants of a group action. Construction and rewriting
Evelyne Hubert, Irina A. Kogan |
J. Symb. Comput. | 2 |
| 2005 | Rotation invariant topology coding of 2D and 3D objects using Morse theoryabstractIn this paper, we propose a numerical algorithm for extracting the topology of a three-dimensional object (2 dimensional surface) embedded in a three-dimensional space /spl Ropf//sup 3/. The method is based on capturing the topology of a modified Reeb graph by tracking the critical points of a distance function. As such, the approach employs Morse theory in the study of translation, rotation, and scale invariant skeletal graphs. The latter are useful in the representation and classification of objects in /spl Ropf//sup 3/. Sajjad Baloch, Hamid Krim, Irina A. Kogan, Dmitry V. Zenkov |
ICIP (3) | 3 |
| 2002 | Computation of canonical forms for ternary cubicsabstractIn this paper we conduct a careful study of the equivalence classes of ternary cubics under general complex linear changes of variables. Our new results are based on the method of moving frames and involve triangular decompositions of algebraic varieties. We provide a computationally efficient algorithm that matches an arbitrary ternary cubic with its canonical form and explicitly computes a corresponding linear change of coordinates. We also describe a classification of the symmetry groups of ternary cubics. Irina A. Kogan, Marc Moreno Maza |
ISSAC | 1 |