Drums and Curve Descriptors
Author(s) -
M. Zuliani,
Charles Kenney,
Sitaram Bhagavathy,
B.S. Manjunath
Publication year - 2004
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.18.5
Subject(s) - affine transformation , computer science , matching (statistics) , representation (politics) , invariant (physics) , set (abstract data type) , context (archaeology) , artificial intelligence , curve fitting , mathematics , pattern recognition (psychology) , algorithm , geometry , machine learning , statistics , paleontology , politics , political science , law , mathematical physics , biology , programming language
In this paper we present a new physically motivated curve descriptor based on the solution of Helmholtz’s equation. The descriptor satisfies the six principles set by MPEG-7: it has a good retrieval accuracy, it is compact, it can be applied in general contexts, it has a reasonable computational complexity, it is robust and provides an hierarchical representation of the curve from coarse to fine. Moreover this descriptor generalizes straightforwardly to three dimensional surfaces. We tested the performance of the descriptor in the context of affine invariant curve matching using the multiview curve dataset (MCD), which consists of 40 curves (extracted from the MPEG-7 shape dataset) imaged under 14 different points of view. The results we obtained show that the proposed descriptor satisfies the MPEG-7 requirements and presents some advantages over some of the commonly used curve descriptors.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom