Face Misalignment Problem
The face misalignment problem, or curse of misalignment, means abrupt degradation of recognition performance due to possible inaccuracy in automatic localization of facial landmarks (such as the eye centers) in the face recognition process. Because these landmarks are generally used for aligning faces, inaccurate landmark positions imply incorrect semantic alignment between the faces or features, which can further result in matching or classification errors. Since perfect alignment is often very difficult, face recognition should be misalignment-robust, i.e., it should work well even if the landmarks are inaccurately located. To achieve this, there are three possible solutions: misalignment-invariant features, misalignment modeling, and alignment retuning.
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