Peter Kalocsai

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A number of behavioural phenomena distinguish the recognition of faces and objects, even when members of a set of objects are highly similar. Because faces have the same parts in approximately the same relations, individuation of faces typically requires specification of the metric variation in a holistic and integral representation of the facial surface.(More)
The classification of a table as round rather than square, a car as a Mazda rather than a Ford, a drill bit as 3/8-inch rather than 1/4-inch, and a face as Tom have all been regarded as a single process termed "subordinate classification." Despite the common label, the considerable heterogeneity of the perceptual processing required to achieve such(More)
Face recognition is one of the most interesting and challenging problems in computer vision. In the past, many facets of this problem have been rigorously investigated because of its importance for understanding our cognitive process and its usefulness in various applications. A great di culty in face recognition is the separation of intrinsic facial(More)
The performance of a local feature based system, using Gabor-filters, and a global template matching based system, using a combination of PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis), was correlated with human performance on a recognition task involving 32 face images. Both systems showed qualitative similarities to human(More)