Result 1: Humans can recognize familiar faces in

Result 1: Humans can recognize familiar faces in very low-resolution images.

Result 2: The ability to tolerate degradations increases with familiarity.

Result 3: High-frequency information by itself is insufficient for good face recognition performance.

Result 4: Facial features are processed holistically.

Result 5: Of the different facial features, eyebrows are among the most important for recognition.

Result 6: The important configural relationships appear to be independent across the width and height dimensions.

Result 7: Face-shape appears to be encoded in a slightly caricatured manner.

Result 8: Prolonged face viewing can lead to high- level aftereffects, which suggest prototype-based encoding.

Result 9: Pigmentation cues are at least as important as shape cues.

Result 10: Color cues play a significant role, especially when shape cues are degraded.

Result 11: Contrast polarity inversion dramatically impairs recognition performance, possibly due to compromised ability to use pigmentation cues.

Result 12: Illumination changes influence generalization.

Result 13: View-generalization appears to be mediated by temporal association.

Result 14: Motion of faces appears to facilitate subsequent recognition.

Result 15: The visual system starts with a rudimentary preference for face-like patterns.

Result 16: The visual system progresses from a piecemeal to a holistic strategy over the first several years of life.

Result 17: The human visual system appears to devote specialized neural resources for face perception.

Result 18: Latency of responses to faces in inferotemporal (IT) cortex is about 120 ms, suggesting a largely feedforward computation.

Result 19: Facial identity and expression might be processed by separate systems.

1 Alan

2 Cynthia

3 Alan

4 Antony

5 Adam

6 Carly

7 Miro

8 Miro

9 Meier

10 Cuong

11 Cuong

12 Patrick

13 Patrick

14 Antony

15 Nick

16 Nick

17 Cynthia

18 Adam

19 Carly