MODEL BASED OBJECT RECOGNITION USING MODIFIED CODED BOUNDARY REPRESENTATION(MCBR) METHOD

This study aims at building the object recognition system which uses the Coded Boundary Representation (CBR) method to store shape data in computers. The CBR method was originally developed M a simple 2-D CAD model, and it can represent a shape as 8 sim-ple form d Ests and operate the shape qualitatively in a nonnumtrical way('). However, it can't represenk a shape in detail because of these features, it is difficult to use the methd in the object recognition system without modification. Therefore this paper describes the modification of the CBR method (which is called the MCBR method), the structure of shape models stored in cornpoten, and shows the system scheme and features. The system consists primarily of two parts, which are cdled the h-age Processing Part gnd the Shape Understanding Part. The role of the former is to extract segments from the original data using Hough transformation. The role of the latter is to reconstruct the shape wing the segments in the MCBR method. Then we demonstrate the effectir~ncss of the MCBR method for object recognition with some illustrative exmples