Current state-of-the-art approach for performing face sketch recognition transforms all the test face images into sketches, and then performs recognition on sketch domain using the sketch composite. In our approach we propose the opposite; which has advantages in a real-time sysrtem; we propose to generate a realistic face image from the composite sketch using a Hybrid subspace method and then build an illumination tolerant correlation filter which can recognize the person under different illumination variations from a surveillance video footage. We show how effective proposed algorithm works on the CMU PIE (Pose Illumination and Expression) database.
|Title of host publication||2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings|
|State||Published - 2006|
|Event||2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France|
Duration: 14 May 2006 → 19 May 2006
|Name||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|Conference||2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006|
|Period||14/05/06 → 19/05/06|