Algebraic geometry for computer-aided geometric design
IEEE Computer Graphics and Applications
New forms of shape invariants from elliptic Fourier descriptors
Pattern Recognition
Geometric and solid modeling: an introduction
Geometric and solid modeling: an introduction
Generalised characteristic polynomials
Journal of Symbolic Computation - Special issue on computational algebraic complexity
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Base points, resultants, and the implicit representation of rational surfaces
Base points, resultants, and the implicit representation of rational surfaces
Applications of Gro¨bner bases in non-linear computational geometry
Geometric reasoning
Numerically stable implicitization of cubic curves
ACM Transactions on Graphics (TOG)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Implicit representation of rational parametric surfaces
Journal of Symbolic Computation
Algorithm for implicitizing rational parametric surfaces
Computer Aided Geometric Design
Using multivariate resultants to find the implicit equation of a rational surface
The Visual Computer: International Journal of Computer Graphics
Geometric invariance in computer vision
Geometric invariance in computer vision
Implicit Curves and Surfaces in CAGD
IEEE Computer Graphics and Applications - Special issue on computer-aided geometric design
Conics-based stereo, motion estimation, and pose determination
International Journal of Computer Vision
Describing Complicated Objects by Implicit Polynomials
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using partial derivatives of 3D images to extract typical surface features
Computer Vision and Image Understanding
Implicitization using moving curves and surfaces
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation of 3D Surfaces by Two-Variable Fourier Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Differential and Numerically Invariant Signature Curves Applied to Object Recognition
International Journal of Computer Vision
The Determination of Implicit Polynomial Canonical Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Regular Article: On the Construction of Complete Sets of Geometric Invariants for Algebraic Curves
Advances in Applied Mathematics
Conversions between parametic and implicit forms using polar/spherical coordinate representations
Computer Vision and Image Understanding
Introduction to Implicit Surfaces
Introduction to Implicit Surfaces
Parameterized Families of Polynomials for Bounded Algebraic Curve and Surface Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Implicitization of Curves Parameterized by Generalized Trigonometric Polynomials
AAECC-11 Proceedings of the 11th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
3L Fitting of Higher Degree Implicit Polynomials
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Implicit and parametric curves and surfaces for computer aided geometric design
Implicit and parametric curves and surfaces for computer aided geometric design
Affine-invariant B-spline moments for curve matching
IEEE Transactions on Image Processing
Improving the stability of algebraic curves for applications
IEEE Transactions on Image Processing
Formation Control of Multiple Robots Using Parametric and Implicit Representations
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Recursive computation of moments of 2D objects represented by elliptic Fourier descriptors
Pattern Recognition Letters
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Object recognition is a central problem in computer vision. When objects are defined by boundary curves, they can be represented either explicitly or implicitly. Implicit polynomial (IP) equations have long been known to offer certain advantages over more traditional parametric methods. However, the lack of general procedures for obtaining IP models of higher degree has prevented their general use in many practical applications. In most cases today, parametric equations are used to model curves and surfaces. One such parametric representation, elliptic Fourier Descriptors (EFD), has been widely used to represent 2D and 3D curves, as well as 3D surfaces. Although EFDs can represent nearly all curves, it is often convenient to have an implicit algebraic description F(x, y) = 0, for several reasons. Algebraic curves and surfaces have proven very useful in many model-based applications. Various algebraic and geometric invariants obtained from these implicit models have been studied rather extensively, since implicit polynomials are well-suited to computer vision tasks, especially for single computation pose estimation, shape tracking, 3D surface estimation from multiple images and efficient geometric indexing into large pictorial databases. In this paper, we present a new non-symbolic implicitization technique called the matrix annihilation method, for converting parametric Fourier representations to algebraic (implicit polynomial) representations, thereby benefiting from the features of both.