Title :
İ ç b ü key E ş le ş tirmeleriyle Nesne Tanima
Author :
Ozgur, E. ; Unel, M.
Author_Institution :
Muhendislik ve Doga Bilimleri Fakultesi, Sabanci Universitesi, Istanbul
Abstract :
In this work, we present a new method for recognizing planar objects by matching multiple concavities of object boundaries in a projective invariant manner. Object boundaries are first decomposed into several concavities using bitangents and obtained concavities are then sorted. Corresponding concavities are aligned by using the projective matrix computed from their bitangent and tangent points. Best concavities are selected based on the Hausdorff distance between aligned concavities. This subset of concavities is then used to align original and transformed objects. Closeness of two aligned objects is checked by the same distance metric. Proposed method is verified by several experiments
Keywords :
image matching; matrix algebra; object recognition; Hausdorff distance; bitangent point; multiple concavity matching; planar object recognition; projective matrix; Matrix decomposition; Sun; Transmission line matrix methods;
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location :
Antalya
Print_ISBN :
1-4244-0238-7
DOI :
10.1109/SIU.2006.1659829