On Recognizing and Positioning Curved 3-D Objects from Image Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric invariance in computer vision
Geometric invariance in computer vision
Describing Complicated Objects by Implicit Polynomials
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Linear Programming Fitting of Implicit Polynomials
IEEE Transactions on Pattern Analysis and Machine Intelligence
Applications of Invariance in Computer Vision: Second Joint European-U. S. Workshop, Ponta Delgada, Azores, Portugal, October 9-14, 1993
Parameterized Families of Polynomials for Bounded Algebraic Curve and Surface Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Representation and Invariant Recognition of Complex Objects Based on Patches and Parts
Proceedings of the International NSF-ARPA Workshop on Object Representation in Computer Vision
New, faster, more controlled fitting of implicit polynomial 2D curves and 3D surfaces to data
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
3L Fitting of Higher Degree Implicit Polynomials
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Part-based Bayesian recognition using implicit polynomial invariants
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
PIMs and Invariant Parts for Shape Recognition
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
The 3L Algorithm for Fitting Implicit Polynomial Curves and Surfaces to Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
| Hi-index | 0.00 |
Query By Sketch for indexing into an image databaseinvolves presenting the machine with a sketch of the object to befound in the database. The sketch can be of the object shape ordistinct contours on the image of the object. This sketch can bemade from memory, or can be refined interactively in response to whatthe database search returns at each iteration. Or the sketch can bemade by generating curves of an object boundary or object-surfaceimage-discontinuities from an example image. This paper introducesand describes a family of 2D curves (implicit polynomial curves) forthis purpose, and an algorithm for generating a representation whichpasses within ϵ of a set of control points specified bythe user. Control points can be placed at arbitrary locations and inarbitrary order, and can be erased by the user at will, in order toarrive at the desired shape representation. Level sets of the objectpotential field have been used to facilitate the interaction process.The fitting algorithm is formulated in the efficient LinearProgramming (LP) framework. We illustrate the use of this method inthe application of content-based image retrieval.