Face Recognition by Elastic Bunch Graph Matching*†

🤖 Plain-English Summary

Classification systems differ vastly in terms of the nature and origin of their knowledge about image variations. Yuille, for example, represented eyes by a circle within an almond-shape and defined an energy function to optimize a total of 9 model parameters for matching it to an image.

🔑 Key Findings

• Systems in Artificial Intelligence and Computer Vision often stress specific designer-provided structures, for instance explicit models of three-dimensional objects or of the image-generation process, whereas Neural Network models tend to stress absorption of structure from examples with the help of statistical estimation techniques.
• Gabor wavelets are biologically motivated convolution kernels in the shape of plane waves restricted by a Gaussian envelope function.
• Some face recognition systems are based on user-defined face-specific features.

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