Using logic in a model-based approach to object recognition
| Autor: | Michael A. Gennert, Suzanne G. W. Dunn |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Computer science
business.industry 3D single-object recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object Definition Language Object (computer science) God object Method Object code Data transfer object Object model Computer vision Artificial intelligence business computer computer.programming_language |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | A model-based object recognition system, predicated on logic as a method of modeling, describing, and identifying objects, is proposed. Users supply the object recognition system with models of known object classes in the form of production rules. The system describes each instance of an object found within an image scene as a collection of facts. The modeled rules act upon these facts in a Prolog environment to obtain an interpretation of the original image scene. Since users supply the object models and the Prolog environment supplies the inference mechanism for interpretation, the primary task of the object recognition system is the description process. For each object instance identified within the image scene, declarative statements are formulated which represent observed components, features, or attributes of that object. The description of an object instance is restricted to its geometric components which are derived from a skeleton or stick-figure representation of a 2-D silhouette portrayal of an object found in the original image scene. Therefore, object classifications can be modeled in a general way so that the size and orientation of the object is independent of that model. Sample results are presented.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only. |
| Databáze: | OpenAIRE |
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