Greedy Search for Descriptive Spatial Face Features

Code

• github.com/bbenligiray/greedy-face-features
  OfficialIn papernone★ 0
• github.com/kyranstar/Narcissus
  tf★ 0

Abstract

Facial expression recognition methods use a combination of geometric and appearance-based features. Spatial features are derived from displacements of facial landmarks, and carry geometric information. These features are either selected based on prior knowledge, or dimension-reduced from a large pool. In this study, we produce a large number of potential spatial features using two combinations of facial landmarks. Among these, we search for a descriptive subset of features using sequential forward selection. The chosen feature subset is used to classify facial expressions in the extended Cohn-Kanade dataset (CK+), and delivered 88.7% recognition accuracy without using any appearance-based features.

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