Now let us consider the following detailed scenario: In the aftermath of a natural disaster such as the Indian Ocean tsunami in 2004, the immediate provisioning of emergency services becomes of great importance. Among these services, searching for missing persons is one of the most critical yet excruciating tasks. In this kind of chaotic situation, infrastructure is destroyed, limiting access to computers and data, making such a search even more difficult. Often, missing person reports are filed, but the persons in question may be injured with no means of communication, or even deceased. One way of dealing with this is to photograph every person found, gather all images to a central location, and perform search and match operations with images of missing persons. However, this approach is not very realistic considering the limited human and machine resources in such a situation. Several questions exist in this scenario: