Compare And Contrast The Norm-Based And Absolute Coding Models Of Face Recognition
1. Compare and contrast the norm-based coding and absolute coding models of face recognition.
Faces show a lot of information we can use to guide our social interactions - gender, ethnicity, age, and emotional state. Identification of faces requires sensitivity to subtle differences in very similar visual patterns. How do we search face space? Do they tile the space so an individual face can be represented by a peak in the distribution of neural responses (absolute) or do the use a code to represent how each differs from a prototype (norm-based).
With a norm-based code, in which individual faces are represented by how they deviate from an average or prototype face. That is, by this account the average face is special, because all other
Faces show a lot of information we can use to guide our social interactions - gender, ethnicity, age, and emotional state. Identification of faces requires sensitivity to subtle differences in very similar visual patterns. How do we search face space? Do they tile the space so an individual face can be represented by a peak in the distribution of neural responses (absolute) or do the use a code to represent how each differs from a prototype (norm-based).
With a norm-based code, in which individual faces are represented by how they deviate from an average or prototype face. That is, by this account the average face is special, because all other