Paper Info
Title
Logics based on qualitative descriptors for scene understanding
Abstract
n approach for scene understanding based on qualitative descriptors, domain knowledge and logics is proposed in this paper. Qualitative descriptors, qualitative models of shape, colour, topology and location are used for describing any object in the scene. Two kinds of domain knowledge are provided: (i) categorizations of objects according to their qualitative descriptors, and (ii) semantics for describing the affordances, mobility and other functional properties of target objects. First order logics are obtained for reasoning and scene understanding. Tests were carried out at the [email protected] scenario and promising results were obtained.
Year
DOI
Venue
2015
10.1016/j.neucom.2015.01.074
Neurocomputing
Keywords
Field
DocType
Qualitative shape and colour,Topology,Location,Domain knowledge,Object detectors,Logics
Domain knowledge,First order,Artificial intelligence,Affordance,Machine learning,Mathematics,Semantics
Journal
Volume
Issue
ISSN
161
C
0925-2312
Citations 
PageRank 
References 
8
0.55
29
Authors
2
Name
Order
Citations
PageRank
Zoe Falomir111924.98
Ana-Maria Olteteanu2225.99