Title :
A methodological approach to visual reasoning
Author :
Liu, X. ; Zhang, G. ; Luo, Z.
Author_Institution :
Dept. of Comput. Sci., Heriot-Watt Univ., Edinburgh, UK
Abstract :
The lack of a structured and theoretical approach to reasoning with visual information is a major obstacle for designing and implementing vision systems. The authors provide a four-step methodological approach to this problem: (1) visual reasoning problems are classified into several categories by their characteristics; (2) a particular class of problems, namely two-dimensional object recognition, is examined, and a system model for describing it is formally extracted; (3) several probability-related inference mechanisms are examined, and the one that is most appropriate for reasoning with the above model is chosen; and (4) a hybrid inference mechanism, the outcome of the above comparative study, is applied to a visual reasoning problem. They show how this approach can be used to overcome the difficulties in designing visual reasoning systems. The implications of this work are discussed
Keywords :
computerised pattern recognition; computerised picture processing; inference mechanisms; hybrid inference mechanism; probability-related inference mechanisms; system model; two-dimensional object recognition; vision systems; visual information; visual reasoning problems; visual reasoning systems; Bayesian methods; Computational efficiency; Computer science; Data mining; Explosions; Health information management; Inference mechanisms; Machine vision; Object recognition; Solids;
Conference_Titel :
Industrial Applications of Machine Intelligence and Vision, 1989., International Workshop on
Conference_Location :
Tokyo
DOI :
10.1109/MIV.1989.40521
