Name
Abstract | ||
|---|---|---|
In this paper a new approach for face clustering is developed. Mutual information and joint entropy are exploited in order to create a metric for the clustering process. The way the joint entropy and the mutual information are calculated gives some interesting properties to the aforementioned metric, which guarantees some robustness against standard noisy transformation such as scaling, cropping and pose changes. A slight preprocessing of the input face images is done in order to undertake problems that arise from detector's known effors. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICME.2006.262705 | 2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS |
Keywords | Field | DocType |
face recognition,mutual information,data preprocessing,joint entropy,entropy,preprocessing,data mining,informatics,motion pictures,movie,face detection,clustering algorithm,clustering algorithms,robustness | Data mining,Facial recognition system,Pattern recognition,Computer science,Data pre-processing,Robustness (computer science),Variation of information,Mutual information,Artificial intelligence,Joint entropy,Face detection,Cluster analysis | Conference |
Citations | PageRank | References |
6 | 0.47 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas Vretos | 1 | 33 | 12.21 |
| Vassilios Solachidis | 2 | 145 | 12.08 |
| Ioannis Pitas | 3 | 6478 | 626.09 |