Are you what you look like? Exploring correlations in personality type and their wearing

Everyday, people choose their preferred clothing to wear before leaving home for various activities. It has been recognized that each person may consciously or unconsciously express individual personality through their wearing styles. It will be interesting to ask: Are you what you look like? This paper presents a novel scheme developed to infer personality type from their wearing. The proposed research is justifiably rooted in the psychological findings that reveal intrinsic correlations between clothing style and wearer's inner self in self-image, mood, and social aspirations. First, we build a relatively large dataset with more than 300 persons and over 10,000 portraits, each is labeled with personality type. Then, personality-related clothing features are explored through statistical analysis based on psychological theories. To extract the clothing features from the images, a suite of algorithms, including body detection, GrabCut algorithm and saliency detection have been developed. Binary logistic regression is then applied to verify the Significance Level of the extracted features for predicting personality types. Experimental results demonstrate that the proposed scheme is able to predict several types of personality combination or type pairs with relatively high precisions.