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IEEE ICARCV 2009
This document proposes a face recognition model using Scale Invariant Feature Transform (SIFT) features extracted from face images. SIFT features are extracted and represented as a graph topology. This model is compared to other SIFT-based models like the Gallery Image Based Match Constraint (GIBMC) and Reduced Point Based Match Constraint (RPBMC) models, as well as the Elastic Bunch Graph Matching (EBGM) model. The proposed model uses a Regular Grid Based Match Constraint (RGBMC) to match SIFT feature graphs between images for face recognition.
