To data, aerial archaeologists generally apply simple rectification procedures or more expensive and time-consuming orthorectification procedures to correct their aerial shots in varying degrees for tilt, lens and relief distortions. Irrespective of the method applied, the georeferencing of the images is commonly determined with ground control points (GCPs), whose measurement and identification is a pretty time-consuming operation and often limits certain images of being accurately georeferenced. Moreover, specialised software, certain photogrammetric skills, and experience are required. Thanks to the recent advantages in the fields of computer vision and photogrammetry as well as the improvements in processing power by means of graphical cards, it is currently possible to generate orthophotographs of large, almost randomly collected aerial photographs in a straightforward and nearly fully automatic way. This paper presents an overview of a computer vision-based method to generate orthophotos from a range of uncalibrated oblique aerial images. To prove the benefits of this approach in comparison to the most common ways of georeferencing aerial imagery, several archaeological case studies are presented. Not only will they showcase the easy workflow, but they will also prove that this approach allows to go beyond current restrictions due to its applicability to data sets that were previously thought to be unsuited for convenient georeferencing.