Expectation-based dynamic scene understanding
Active vision
Visual language theory
SIGMA: A Knowledge-Based Aerial Image Understanding System
SIGMA: A Knowledge-Based Aerial Image Understanding System
BPI: Ein Blackboard-basiertes Produktionssystem für die automatische Bildauswertung
Mustererkennung 1986, 8. DAGM-Symposium
From Gestalt Theory to Image Analysis: A Probabilistic Approach
From Gestalt Theory to Image Analysis: A Probabilistic Approach
Model representations and control structures in image understanding
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Object-oriented landmark recognition for UAV-navigation
Pattern Recognition and Image Analysis
An accumulating interpreter for cognitive vision production systems
Pattern Recognition and Image Analysis
On the semantics of object-oriented landmark recognition
Pattern Recognition and Image Analysis
Model-based recognition of 2D objects under perspective distortion
Pattern Recognition and Image Analysis
An accumulating interpreter for cognitive vision production systems
Pattern Recognition and Image Analysis
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In this contribution knowledge-based image understanding is treated. The knowledge is coded declaratively in a production system. Applying this knowledge to a large set of primitives may lead to high computational efforts. A particular accumulating parsing scheme trades soundness for feasibility. Per default this utilizes a bottom-up control based on the quality assessment of the object instances. The point of this work is in the description of top-down control rationales to accelerate the search dramatically. Top-down strategies are distinguished in two types: (i) Global control and (ii) localized focus of attention and inhibition methods. These are discussed and empirically compared using a particular landmark recognition system and representative aerial image data from GOOGLE-earth.