PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Not far away from home: A relational distance-based approach to understand images of houses
Laura-Andreea Antanas, Martijn van Otterlo, José Antonio Oramas Mogrovejo, Tinne Tuytelaars and Luc De Raedt
In: International Conference on Inductive Logic Programming - ILP 2010, 27-30 June 2010, Florence, Italy.


Augmenting vision systems with high-level knowledge and reasoning can improve lower-level vision processes, such as object detection, with richer and more structured information. In this paper we tackle the problem of delimiting conceptual elements of street views based on spatial relations between lowerlevel components, e.g. the element ‘house’ is composed of windows and a door in a spatial arrangement. We use structured data: each concept can be seen as a graph representing spatial relations between components, e.g. in terms of right, up, close. We employ distances between logical interpretations to match parts of images with known examples and describe experimental results.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Machine Vision
ID Code:7886
Deposited By:Tinne Tuytelaars
Deposited On:17 March 2011