Covariant Conics Decomposition of Quartics for 2D Object Recognition and Affine Alignment

This paper outlines a geometric parameterization of 2D curves where the parameterization is in terms of geometric invariants and terms that determine an intrinsic coordinate system. Thus, we present a new approach to handle two fundamental problems: single-computation alignment and recognition of 2D shapes under affine transformations. The approach is model-based, and every shape is first fit by an implicit fourth degree (quartic) polynomial. Based on the decomposition of this equation into three covariant conics, we are able to define a unique intrinsic reference system that can incorporates all the useable alignment information contained in the implicit polynomial representation, a complete set of geometric invariants, and thus an associated canonical form for a quartic. This representation permits shape recognition based on 8 invariants. This is illustrated in experiments with real data sets.

• Type: Conference
• Year: 1998
• Where: ICIP
• Authors: Jean-Philippe Tarel, William Wolovich and David B. Cooper
• Keywords: Algebraic Curves, Computer Vision, ICIP 1998, Implicit Curve, Shape Alignment, Shape Representation