Title :
An ultrasonic 3D object recognition method based on the unified neural network theory
Author :
Watanabe, Sumio ; Yoneyama, Masahide
Author_Institution :
RICOH Co., Ltd., Yokohama, Japan
Abstract :
A new 3D object recognition method is proposed using acoustical imaging and a probability competition neural network. Its performance is shown by experimental results. 3-D objects are not only classified but also identified based on the unified neural network theory
Keywords :
acoustic imaging; image recognition; neural nets; acoustical imaging; probability competition neural network; ultrasonic 3D object recognition method; unified neural network theory; Acoustic imaging; Acoustic scattering; Glass; Image recognition; Neural networks; Object recognition; Optical computing; Optical imaging; Optical transmitters; Ultrasonic imaging;
Conference_Titel :
Ultrasonics Symposium, 1992. Proceedings., IEEE 1992
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0562-0
DOI :
10.1109/ULTSYM.1992.275887
