IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape alignment—optimal initial point and pose estimation
Pattern Recognition Letters
A fuzzy algorithm for curve and surface alignment
Pattern Recognition Letters
A mixture model for pose clustering
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Covariant-Conics Decomposition of Quartics for 2D Shape Recognition and Alignment
Journal of Mathematical Imaging and Vision
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Improving the stability of algebraic curves for applications
IEEE Transactions on Image Processing
3D Model Segmentation and Representation with Implicit Polynomials
IEICE - Transactions on Information and Systems
Adaptively determining degrees of implicit polynomial curves and surfaces
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Multilevel algebraic invariants extraction by incremental fitting scheme
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
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Pose estimation has been considered to be an important component in many pattern recognition and computer vision systems. In this paper, we introduce a pose estimation method based on implicit polynomials. We also introduce a set of rotation invariant measures for object matching. We test both methods under colored noise, missing points, and affine transformation. Extensive testings indicate that our methods work fairly well under various disturbances. We also compare our methods with existing ones in the literature.