Methodological approach to visual reasoning

X. Liu, G. Zhang, Z. Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 disussed.

Original languageEnglish
Title of host publicationProceedings of the International Workshop on Industrial Applications of Machine Intelligence and Vision
Pages50-55
Number of pages6
Publication statusPublished - 1989
EventInternational Workshop on Industrial Applications of Machine Intelligence and Vision - Tokyo, Japan
Duration: 10 Apr 198912 Apr 1989

Conference

ConferenceInternational Workshop on Industrial Applications of Machine Intelligence and Vision
CityTokyo, Japan
Period10/04/8912/04/89

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