The constraints on images of rectangular polyhedra
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial intelligence
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
Pattern-Directed Inference Systems
Pattern-Directed Inference Systems
A Cooperative Scheme for Image Understanding Using Multiple Sources of Information
A Cooperative Scheme for Image Understanding Using Multiple Sources of Information
Knowledge-Based Visual Interpretation Using Declarative Schemata
Knowledge-Based Visual Interpretation Using Declarative Schemata
A Procedural Model of Recognition for Machine Perception
A Procedural Model of Recognition for Machine Perception
Software functionalities and requirements for manufacturing systems integration
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Computational strategies for object recognition
ACM Computing Surveys (CSUR)
Computerized Flow Field Analysis: Oriented Texture Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge-Directed Interpretation of Mechanical Engineering Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Relational-Linear Quadtree Approach for Two-Dimensional Spatial Representation and Manipulation
IEEE Transactions on Knowledge and Data Engineering
Using Fuzzy DLs to Enhance Semantic Image Analysis
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Knowledge modeling for the image understanding task as a design task
Expert Systems with Applications: An International Journal
Investigating fuzzy DLs-based reasoning in semantic image analysis
Multimedia Tools and Applications
Expressing relational and temporal knowledge in visual probabilistic networks
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
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The authors analyze the roles of knowledge and control in working computer vision systems, describe model-based vision approaches whereby models serve to expedite scene interpretation by providing expectations for what is likely to be seen, and examine context-free approaches wherein image features are matched against a priori specified-object descriptions. They compare knowledge representation schemes of formal logic, semantic nets, production systems, and frames with respect to procedural and descriptive capability. They discuss control strategies, highlighting issues of parallel vs. sequential control, local vs. global control, distributed vs. centralized control, and top-down vs. bottom-up approaches. The authors develop these concepts within the framework of well-known systems such as Acronym, Hearsay, and VISIONS, providing a review of the major issues in computer vision.