Title :
An image recognition method for rusty and damaged car parts after road traffic accident
Author :
Ho, Kenneth H L ; Yamaba, Kazuo
Author_Institution :
Robotics Dept., Mech. Eng. Lab., Tsukuba, Japan
Abstract :
This paper presents a new image recognition method which can recognise undamaged car parts of a car after a road traffic accident. This image recognition method defines concepts by using a set of images as examples. It recognises a new image by collecting evidence from the images in the example set. A simple example was used to illustrate this method
Keywords :
automobiles; case-based reasoning; computer vision; image recognition; knowledge based systems; road vehicles; automobiles; categorisation; classification; computer vision; damaged car parts; evidential reasoning; example set; image recognition; Automotive materials; Image recognition; Machinery; Mechanical engineering; Recycling; Road accidents; Robots; Shape; Vehicles; Virtual manufacturing;
Conference_Titel :
Advanced Robotics, 1993. Can Robots Contribute to Preventing Environmental Deterioration? Proceedings, 1993 IEEE/Tsukuba International Workshop on
Conference_Location :
Tsukuba
Print_ISBN :
0-7803-1441-7
DOI :
10.1109/ICAR.1993.337216
