Arc and path consistence revisited
Artificial Intelligence
A generic arc-consistency algorithm and its specializations
Artificial Intelligence
Arc-consistency and arc-consistency again
Artificial Intelligence
Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
Composing cardinal direction relations
Artificial Intelligence
Image Parsing: Unifying Segmentation, Detection, and Recognition
International Journal of Computer Vision
Generic Model Abstraction from Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy spatial relation ontology for image interpretation
Fuzzy Sets and Systems
Fuzzy spatial relationships for image processing and interpretation: a review
Image and Vision Computing
Arc-Consistency Checking with Bilevel Constraints: An Optimization
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Constraint reasoning with uncertain data using CDF-Intervals
CPAIOR'10 Proceedings of the 7th international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
A constraint propagation approach to structural model based image segmentation and recognition
Information Sciences: an International Journal
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In this paper, a new way to express complex spatial relations is proposed in order to integrate them in a Constraint Satisfaction Problem with bilevel constraints (CSP"B"C). The two levels of constraint were introduced to deal with the non bijective matching between segmented regions of an image and the nodes of a conceptual graph describing the semantic content of the image. This new system of spatial relations allows to build conceptual graphs describing more precisely the spatial relations between subparts of a composite object that we look for in an image. For example, it allows to express complex spatial relations such as ''is surrounded by''. This approach can be applied to image interpretation and some examples on real images are presented.