Name
Title | ||
|---|---|---|
Comparison of human face matching behavior and computational image similarity measure. |
Abstract | ||
|---|---|---|
Computational similarity measures have been evaluated in a variety of ways, but few of the validated computational measures
are based on a high-level, cognitive criterion of objective similarity. In this paper, we evaluate two popular objective similarity
measures by comparing them with face matching performance in human observers. The results suggest that these measures are
still limited in predicting human behavior, especially in rejection behavior, but objective measure taking advantage of global
and local face characteristics may improve the prediction. It is also suggested that human may set different criterions for
“hit” and “rejection” and this may provide implications for biologically-inspired computational systems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11432-009-0044-6 | Science in China Series F: Information Sciences |
Keywords | Field | DocType |
human behavior | Face matching,Similarity measure,Artificial intelligence,Cognition,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
52 | 2 | 18622836 |
Citations | PageRank | References |
3 | 0.41 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenfeng Chen | 1 | 56 | 4.75 |
| Changhong Liu | 2 | 9 | 3.21 |
| Karen Lander | 3 | 4 | 1.11 |
| Xiaolan Fu | 4 | 786 | 60.72 |