Author:
Stefano Casadei
Affiliation:
no organization, France
Keyword(s):
Model-based estimation, edge and corner detection, feature extraction, grouping, feedback, model hierarchy.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Early Vision and Image Representation
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Segmentation and Grouping
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
To facilitate the optimal estimation of the parameters of a complex image feature, the feature’s model is fragmented into simpler approximating models. By repeating this fragmentation procedure recursively, a hierarchy of feature models is obtained. To ensure that feature parameter values are recovered exactly in the limit of high SNR, an algorithm is proposed to compensate for the model approximation errors between adjacent levels of the hierarchy.