We present a framework for matching and recognition of planar shapes based on a method from computer graphics based animation, called `shape metamorphosis'. In our approach, the `degree of morphing' between two shapes is employed as a dissimilarity measure. A physics-based energy minimization approach is used for optimally computing the `degree of morphing.' This measure is shown to have metric properties and invariance to translation, rotation, scaling and mirror symmetry. Experimentations in the recognition of planar shapes, hand-drawn figures, and on-line cursive words indicate the robustness of the recognition paradigm.
|Original language||English (US)|
|Number of pages||4|
|State||Published - 1997|
|Event||Proceedings of the 1997 13th International Conference on Digital Signal Processing, DSP. Part 2 (of 2) - Santorini, Greece|
Duration: Jul 2 1997 → Jul 4 1997
|Other||Proceedings of the 1997 13th International Conference on Digital Signal Processing, DSP. Part 2 (of 2)|
|Period||7/2/97 → 7/4/97|