Shape Matching Using a Novel Warping Distance Measure

Conference Paper · June 2008with5 Reads
DOI: 10.1007/978-3-540-69812-8_46 · Source: DBLP
Conference: Image Analysis and Recognition, 5th International Conference, ICIAR 2008, Póvoa de Varzim, Portugal, June 25-27, 2008. Proceedings

    Abstract

    This paper presents a novel distance measure, the Minimum Landscape Distance (MLD). MLD is a warping distance measure that
    provides a non-linear mapping between the elements in one sequence to those of another. Each element in one sequence is mapped
    to that with the highest neighborhood structural similarity (landscape) in the other sequence within a window. Different window
    sizes are tested on a number of datasets and a linear relationship between the window size and the sequence size is discovered.
    Experimental results obtained on the Kimia-99 and Kimia-216 datasets show that MLD is superior to the Euclidean, correlation,
    and Dynamic Time Warping (DTW) distance measures.