Recent advances in unconstrained face recognition
Many face recognition systems have demonstrated promising results under well-controlled conditions with cooperative users. However, face recognition in real-world scenarios is still a challenging problem due to dramatic facial variations caused by different poses, lighting conditions, expressions, occlusion and so on. In this chapter, we summarize recent advances in unconstrained face recognition. We begin by introducing existing unconstrained face databases or benchmarks. We then provide an overview of recent techniques specifically developed for this task, including advanced face representations, metric learning approaches, background information investigation and pose-invariant approaches. Finally, we highlight some open issues to be addressed.
Recent advances in unconstrained face recognition, Page 1 of 2
< Previous page Next page > /docserver/preview/fulltext/books/sc/pbse001e/PBSE001E_ch8-1.gif /docserver/preview/fulltext/books/sc/pbse001e/PBSE001E_ch8-2.gif