İçbükey eşleştirmeleriyle nesne tanıma

Özgür, Erol and Ünel, Mustafa (2006) İçbükey eşleştirmeleriyle nesne tanıma. In: Sinyal İşleme ve Uygulamaları Kurultayı (SIU2006), Antalya

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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.
Item Type: Papers in Conference Proceedings
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Erol Özgür
Date Deposited: 08 Feb 2007 02:00
Last Modified: 26 Apr 2022 08:30
URI: https://research.sabanciuniv.edu/id/eprint/1107

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