Title :
Magic Mirror: An Intelligent Fashion Recommendation System
Author :
Si Liu ; Luoqi Liu ; Shuicheng Yan
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
This paper mainly introduces the techniques required for a future system, called Magic Mirror. Imagine when you wake up in the morning and prepare for the coming day, the Magic Mirror will automatically recommend to you the most appropriate styles of hair, makeup, and dressing, according to the events and activities on your calendar, with which it is linked, so that you can present yourself on these occasions with elegant and suitable appearance. The work shall focus on the mathematical models for these tasks, particularly on how to model the relations between low-level human body features, middle-level facial/body attributes, and high-level recommendations. Being automatic and intelligent are the two main characteristics of the system, and this work shall show two prototype sub-systems related with the whole Magic Mirror system.
Keywords :
face recognition; image matching; recommender systems; support vector machines; high-level recommendations; intelligent fashion recommendation system; latent SVM based recommendation model; low-level human body features; magic mirror system; mathematical models; middle-level facial attributes; support vector machine; Clothing; Feature extraction; Gold; Hair; Mirrors; Support vector machines; Testing; clothing recommendation; makeup recommendation;
Conference_Titel :
Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
Conference_Location :
Naha
DOI :
10.1109/ACPR.2013.212
