Loading...
Multi-view invariant shape recognition based on neural networks
Author(s)
Yawichai, Kritsana
Kitjaidure, Yuttana
Date Issued
September 23, 2008
Type
Conference Paper
Abstract
Several shape recognition systems based on pairwise shape matching technique have achieved high accuracy but they face a problem of time consumption when they are evaluated on a large database. So this drawback makes the system impractical for real-time applications. Motivated by this obstacle, we have investigated a novel and robust neural network solution to achieve high speed of shape recognition without sacrificing accuracy via the non-absolute 1-D triangle area representation (NATA). Our method has been evaluated over a number of affine distorted shapes. The experimental results demonstrate that a shape recognition system using the neural network can achieve high speed and accuracy comparable with the prior system. ©2008 IEEE.
Citation
2008 3rd IEEE Conference on Industrial Electronics and Applications Iciea 2008, 1538-1542, 2008