Incremental reconstruction of 3D scenes from multiple, complex images
Artificial Intelligence
A Bayesian method for constructing Bayesian belief networks from databases
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Task-oriented vision with multiple Bayes nets
Active vision
Image Interpretation Using Bayesian Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge-based image understanding systems: a survey
Computer Vision and Image Understanding
The ascender system: automated site modeling from multiple aerial images
Computer Vision and Image Understanding
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Site model acquisition and extension from aerial images
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A Task Driven 3D Object Recognition System Using Bayesian Networks
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Learning Bayesian networks with local structure
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Modular Bayesian Network Learning for Mobile Life Understanding
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Landmark detection from mobile life log using a modular Bayesian network model
Expert Systems with Applications: An International Journal
A modular design of Bayesian networks using expert knowledge: Context-aware home service robot
Expert Systems with Applications: An International Journal
Context modeling with bayesian network ensemble for recognizing objects in uncertain environments
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Context-Based scene recognition using bayesian networks with scale-invariant feature transform
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Activity-Object bayesian networks for detecting occluded objects in uncertain indoor environment
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Detecting giant solar flares based on sunspot parameters using bayesian networks
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Fusion of modular bayesian networks for context-aware decision making
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
3D Scene interpretation by combining probability theory and logic: The tower of knowledge
Computer Vision and Image Understanding
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This paper presents a control structure for a general-purpose image understanding system. It addresses the high level of uncertainty in local hypotheses and the computational complexity of image interpretation. The control of vision algorithms is done by an independent subsystem that uses Bayesian networks and utility theory to compute marginal value of information and selects the algorithm with the highest value of information. It is shown that the knowledge base can be acquired using learning techniques and the value-driven approach to the selection of vision algorithms leads to performance gains.