MODEL-BASED OBJECT RECOGNITION USING BASIC PROBABILITY ASSIGNMENT

A method of object recognition is proposed based on Dempster-Shafer th eory (DS theory), which can treat the ambiguity of image data. A model based object recognition technique based on an aspect imaging method will also be proposed. The aspect imaging method recognizes a similar aspect object by comparing an input image with an aspect image of the model database. Our proposed method calculates the degree of similarit y based on the DS theory instead of Bayes theory, represents an uncert ainty factor of similarity as a basic probability of DS theory, and as signs a basic probability of information to be decided. The experiment al results show that the proposed method is both more robust and more reliable.