Rectifying Face and It’s Expressions Using LDN in Image Processing

Abstract

LDN encodes the directional information of the face’s textures producing a more compact discriminative code than current present methods. With the help of a compass mask that extracts directional information, and compute the structure of each micro-pattern and encode such information using the prominent direction indices (directional numbers) and sign—this allows us to distinguish among similar structural patterns that have different intensity transitions. Here we divide the face into several regions to extract the distribution of the LDN features from them. We use it as a face descriptor by concatenate these features into a feature vector. We have performed several experiments in which our descriptor performs consistently under noise, illumination, expression, and time lapse variations. Furthermore, we test our descriptor with different masks to analyze its performance in different face analysis tasks.