Automatic Detection and Classification of Traffic Signs
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
Affine normalization of symmetric objects
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
A new method for affine registration of images and point sets
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
A unifying framework for correspondence-less linear shape alignment
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Hi-index | 0.00 |
A direct approach for parametric estimation of 2D affine deformations between compound shapes is proposed. It provides the result as a least-square solution of a linear system of equations. The basic idea is to fit Gaussian densities over the objects yielding covariant functions, which preserves the effect of the unknown transformation. Based on these functions, linear equations are constructed by integrating nonlinear functions over appropriate domains. The main advantages are: linear complexity, easy implementation, works without any time consuming optimization or established correspondences. Comparative tests show that it outperforms state-of-the-art methods both in terms of precision, robustness and complexity.