Recognizing Famous Faces: Exploring the Benefits of Facial Motion
By Karen Lander, Vicki Bruce. 2000
140 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/50c5af82aa2d3e1e5f9a39c23656d1e9eb460b8e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Christopher Y. Olivola
- Alexander Todorov
- Alice J. O'Toole
- Hervé Abdi
- D. Roark
- Lewis L. Chuang
- James V. Haxby
- Ron Dotsch
In Computer Vision and Pattern Recognition
- Christopher Y. Olivola
- Alice J. O'Toole
- Hervé Abdi
- D. Roark
- Alexander Todorov
- Heinrich H. Bülthoff
- Quoc C. Vuong
- Lewis L. Chuang
Citations in the corpus
- Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects (2012, background): “To replicate previous findings (e.g., Stone, 1998, 1999; Lander and Bruce, 2000; Liu and Cooper, 2003; Vuong and Tarr, 2006), we first investigated if sequence-reversal affected the recognition of novel non-rigidly deforming objects on an old-new recognition task (Experiment 1a) and a two-interval f”
- Recognizing moving faces: a psychological and neural synthesis. (2002, background): “Slowing down or disrupting the rhythm of faces impairs recognition by comparison with evenlypaced moving faces [5, 6 ].”
- Elected in 100 milliseconds: Appearance-Based Trait Inferences and Voting (2010, background): “For example, dynamic faces are represented more easily (Thornton and Kourtzi 2002; Yoshikawa and Sato 2006), remembered better (Lander and Bruce 2003), identified more accurately ( Lander and Bruce 2000; Lander et al. 1999) and facilitate recognition of subtle emotional facial expressions (Ambadar ”