MULTI-IMAGE MATCHING USING SEGMENT FEATURES
Juliang Shao, Roger Mohr, Clive S. Fraser · 2000
This paper presents a strategy for matching features in multiple images, which emphasises reliable matching and the recovery of feature extraction errors. The process starts from initial 'good' matches, which are validated in multiple images using multi-image constraints. These initial matches are then filtered through a relaxation procedure and are subsequently used to locally predict additional features that might well be extracted using different thresholds for the feature extraction process. The relaxation labelling is simultaneously performed among multiple images, as opposed to the usual case of just two images. The overall process has been applied to segment matching of both aerial and close- range imagery and an example application is briefly reported.