A novel relative orientation feature for shape-based object recognition

Author

Zhao, Yanyun ; Cai, Anni

Author_Institution

Multimedia Commun. & Pattern Recognition Labs., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

6-8 Nov. 2009

Firstpage

686

Lastpage

689

Abstract

We propose a novel relative orientation feature (ROF) to represent the contour or skeleton of a two-dimensional object. With the aid of ROF, the shapes of two objects with fine structures can be compared. Matching with ROF is invariant with respect to translation, rotation and scaling transforms. Experimental results on hand gesture recognition demonstrate the effectiveness and efficiency of ROF with the identification rate of 98% and the average computational time less than 0.45 ms/frame.

Keywords

edge detection; feature extraction; gesture recognition; object recognition; contour representation; hand gesture recognition; relative orientation feature; rotation transform; scaling transform; shape-based object recognition; skeleton representation; translation transform; Character recognition; Image edge detection; Image recognition; Multimedia communication; Object detection; Object recognition; Pattern recognition; Reflection; Shape; Skeleton; gesture recognition; shape feature; shape-based object recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4898-2

Electronic_ISBN

978-1-4244-4900-6

Type

conf

DOI

10.1109/ICNIDC.2009.5360852

Filename

5360852