The automatic analysis of faces in images and videos plays an important role in many different areas, such as video surveillance, human-computer/human-robot interaction, video games, or augmented reality just to name a few. Despite much improvement in the quality of the captured image or video data, the actual face image resolution is often very small in many applications (<30 pixels wide), for example in video surveillance due to the distance of the persons from the sensor. Further, the high variability of the visual appearance, different view points, uncontrolled lighting conditions, partial occlusions, as well as non-rigid deformations due to facial expressions make reliable face analysis a challenging task. This workshop aims to bring together researchers to discuss novel, generic approaches related to the automatic analysis of low-resolution face images and videos.