Title :
Object recognition robust under translations, deformations, and changes in background
Author_Institution :
Inst. fur Neuroinf., Ruhr-Univ., Bochum, Germany
fDate :
7/1/1997 12:00:00 AM
Abstract :
Recognition systems based on model matching using low level features often fail due to a variation in background. As a solution, I present a system for the recognition of human faces independent of hairstyle. Correspondence maps between an image and a model are established by coarse-fine matching in a Gabor pyramid. These are used for hierarchical recognition
Keywords :
face recognition; parallel processing; Gabor pyramid; background change robustness; coarse-fine matching; correspondence maps; deformation robustness; hairstyle; hierarchical recognition; human face recognition; low-level features; model matching; object recognition; translation robustness; Continuous wavelet transforms; Face recognition; Fourier transforms; Frequency; Humans; Image recognition; Image sampling; Kernel; Object recognition; Robustness;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
