Author:
Sylvie Chambon
Affiliation:
Laboratoire Central des Ponts et Chaussées (LCPC), Nantes, France
Keyword(s):
Default detection, Road, Crack, Matching, Stereovision, Fusion.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Matching Correspondence and Flow
;
Motion, Tracking and Stereo Vision
;
Segmentation and Grouping
;
Signal Processing, Sensors, Systems Modeling and Control
;
Stereo Vision and Structure from Motion
Abstract:
Extracting the defects of the road pavement in images is difficult and, most of the time, one image is used alone. The difficulties of this task are: illumination changes, objects on the road, artefacts due to the dynamic acquisition. In this work, we try to solve some of these problems by using acquisitions from different points of view. In consequence, we present a new methodology based on these steps : the detection of defects in each image, the matching of the images and the merging of the different extractions. We show the increase in performances and more particularly how the false detections are reduced.