Authors:
Igor Jovančević
1
;
Ilisio Viana
1
;
Jean-José Orteu
1
;
Thierry Sentenac
2
and
Stanislas Larnier
3
Affiliations:
1
Université de Toulouse, CNRS, INSA, UPS, Mines Albi, ISAE and ICA, France
;
2
Université de Toulouse, CNRS, INSA, UPS, Mines Albi, ISAE, ICA, CNRS, LAAS, Université de Toulouse, UPS and LAAS, France
;
3
CNRS, LAAS, Université de Toulouse, UPS and LAAS, France
Keyword(s):
Computer-aided-inspection, Image Analysis, Feature Matching, PTZ Camera, Hough Transform, EDCircle.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Classification
;
Computer Vision, Visualization and Computer Graphics
;
Feature Selection and Extraction
;
Graphical and Graph-Based Models
;
Image Understanding
;
Object Recognition
;
Pattern Recognition
;
Robotics
;
Software Engineering
;
Theory and Methods
Abstract:
This paper focuses on the navigation of a moving robot equipped with cameras, moving around an aircraft to perform inspection of different types of items (probes, doors, etc.). Matching CAD model and image features is useful to provide meaningful features for localization and inspection tasks. In our approach two primitive sets are matched using a similarity function. The similarity scores are injected in the edges of a bipartite graph. A best-match search procedure in bipartite graph guarantees the uniqueness of the match solution. The method provides good matching results even when the location of the robot with respect to the aircraft is badly estimated. Inspection approaches on static ports and air inlet vent are presented.