MOMENT BASED OBJECT RECOGNITION AND RECONSTRUCTION - Theory and Applications

In this book, the problem of object recognition and reconstruction is addressed using image moments. We discussed a Artificial Neural Network (ANN) based scheme for Object recognition. The invariance properties of geometric moments as well as lower order moments corresponding to partially occluded objects are used to train a feedforward ANN. The trained neural network is used to predict the actual moments from the moments of the object with different occlusions. The object is recognized based on the comparison of the actual moments and the predicted moments. The problem of object reconstruction using Zernike and Pseudo- zernike moments is also discussed.

About the author

Mr.Saibal Dutta received BE degree in Elect & Comm Engg from Burdwan University, India in 2005 and M. Tech degree in Elect. syst. and Comm. Engg. from N.I.T, Rourkela, India in 2007. Dr.Pradipta Kumar Nanda is Prof and Head of the Department of E&TC, ITER,Bhubaneswar. Prior to this, he had served N. I. T, Rourkela from 1986 to 2007.

Product details

• Authors: SAIBA DUTTA, Saibal Dutta, Pradipta Kumar Nanda
• Publisher: LAP Lambert Academic Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2012
• EAN: 9783838325163
• ISBN: 978-3-8383-2516-3
• No. of pages: 88
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT