Extracting facial features by an inhibitory mechanism based on gradient distributions
作者： Cheng-Chung Lin , Wei-Chung Lin
DOI: 10.1016/S0031-3203(96)00034-9
关键词: Set (abstract data type) 、 Computational complexity theory 、 Artificial intelligence 、 Face detection 、 Computer vision 、 Symmetry in biology 、 Mathematics 、 Basis (linear algebra) 、 Grayscale 、 Image processing 、 Mechanism based
摘要: Abstract The extraction of facial features is a fundamental and crucial step in most face detection recognition systems. Here set approaches are proposed for extracting internal external gray-level images containing single or multiple faces various sizes, at different locations without any restriction on the background. These distinctive several aspects: use some rarely exploited photometric properties as basis extraction, novel metrics radial symmetry gradient orientations, an inhibitory mechanism simple ones.
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