Determining of translation and rotation of an object from its Radon transform via neural network

Author

Thuc, Nguyen Dinh ; Khanh, Bui Doan

Volume

5

fYear

2001

fDate

2001

Firstpage

3281

Abstract

A flexible approach to the determination of translation and rotation of an object from Radon transform data is presented. Translation and rotation of an object can be effected in Radon space. This also works in reverse, and the Radon transform of two identical objects can be compared to determine the rotation and the translation between the objects. This gives the absolute location of the test object if the location of the reference object is known. The technique for achieving this involves the use of a neural network that has been trained to determine the orientation by determining how many lines of the sinogram have to be restacked and to determine the translation by finding the shift of each line

Keywords

Radon transforms; computational geometry; learning (artificial intelligence); neural nets; Radon space; Radon transform; absolute location; identical objects; neural network; object rotation; object translation; reference object; sinogram; test object; Deafness; Feature extraction; Hardware; Image converters; Neural networks; Parallel processing; Sonogram; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2001 IEEE International Conference on

Conference_Location

Tucson, AZ

ISSN

1062-922X

Print_ISBN

0-7803-7087-2

Type

conf

DOI

10.1109/ICSMC.2001.972025

Filename

972025