2D shape classification and retrieval
Graham McNeill, Sethu Vijayakumar · ERA · 2005
We present a novel correspondence-based technique for efficient shape classification and retrieval. Shape boundaries are described by a set of (ad hoc) equally spaced points avoiding the need to extract landmark points. By formulating the correspondence problem in terms of a simple generative model