A New Matching Strategy for SNI-based 3-D Object Recognition

면 법선 영상 기반형 3차원 물체인식에서의 새로운 매칭 기법

  • 박종훈 (한국전자통신연구소 미디어 응용연구실) ;
  • 최종수 (중앙대학교 전자공학과)
  • Published : 1993.07.01

Abstract

In this paper, a new matching strategy for 3-D object recognition, based on the Surface Normal Images (SNIs), is proposed. The matching strategy using the similarity decision function [9,10] lost the efficiency and the reliability of matching, because all features of models within model base must be compared with the scene object features, and the weights of the attributes of features is given by heuristic manner. However, the proposed matching strategy can solve these problems by using a new approach. In the approach, by searching the model base, a model object whose features are fully matched with the features of sceme object is selected. In this paper, the model base is constructed for the total 26 objects, and systhetic and real range images are used in the test of the system operation. Experimental result is performed to show the possibility that this strategy can be effectively used for the SNI based recognition.

Keywords