Abstract
A DCT domain analysis of facial images is reported, which reveals that, when a certain number of DCT coefficients are removed, the corresponding facial image description by the remaining DCT coefficients becomes robust to lighting changes and scale variations. Such good properties would be very useful for applications of face recognition, video object tracking, object segmentation and visual content processing.