Abstract
In this work we proposed a new variant of spectral clustering using double spectral analysis which proved to be able to achieve better clustering results. The present work focuses on the special case of 3D videos and the implication of their use. Extended experiments have been conducted in three 3D full feature commercial films which revealed the power of stereo face clustering in comparison with single channel face clustering.
Original language | English |
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Title of host publication | 2014 International Conference on Electrical and Computer Engineering (ICECE 2014) |
Subtitle of host publication | Proceedings of a meeting held 20-22 December 2014, Dhaka, Bangladesh |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 262-265 |
Number of pages | 4 |
ISBN (Electronic) | 9781479941674 |
ISBN (Print) | 9781479941650 |
DOIs | |
Publication status | Published - Mar 2015 |
Event | International Conference on Electrical and Computer Engineering (ICECE) - Dhaka, Bangladesh Duration: 20 Dec 2014 → 22 Dec 2014 |
Conference
Conference | International Conference on Electrical and Computer Engineering (ICECE) |
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Country/Territory | Bangladesh |
City | Dhaka |
Period | 20/12/14 → 22/12/14 |
Keywords
- stereo facial image clustering
- Spectral clustering
- Ncut
- HSV color space
- facial image clustering