Image Compression in Face Recognition - a Literature Survey
Krešimir Delač, Sonja Grgić, Mislav Grgić · InTech eBooks · 2008
Recent Advances in Face Recognition 2 performing face recognition directly in the compressed domain.We shall try to link the surveyed research hypotheses and conclusions to some real world scenarios as frequently as possible.We shall mostly concentrate on JPEG (Wallace, 1991) and JPEG2000 (Skodras et al., 2001) compression schemes and their related transformations (namely, Discrete Cosine Transform and Discrete Wavelet Transform).We feel that common image compression standards such as JPEG and JPEG2000 have the highest potential for actual usage in real life, since the image will always have to decompressed and presented to a human at some point.From that perspective it seems reasonable to use a well-known and commonly implemented compression format that any device can decompress.The rest of this chapter comprises of four sections.In section 2 we shall give an overview of research in spatial (pixel) domain, mainly focusing on the influence that degraded image quality (due to compression) has on recognition accuracy.In section 3 we shall follow the same lines of thought for the transform (compressed) domain research, also covering some research that is well connected to the topic even though the actual experiments in the surveyed papers were not performed with face recognition scenarios.We feel that the presented results from other research areas will give potential future research directions.In section 4 we review the presented material and try to pinpoint some future research directions.