The invention relates to an intelligent clothing recommendation
system based on image recognition and a recommendation method thereof, and the
system obtains a
human body image through a multi-
modal data collection module, constructs a three-dimensional body model in combination with a
deep learning algorithm, and achieves the precise measurement of key parameters such as shoulder breadth and
chest circumference. And customized recommendation schemes are generated based on body types such as apple types and
pear types. The clothing recommendation module integrates fashion
trend analysis and a scene
adaptation algorithm, provides style screening, single article combination and dynamic AR fitting functions, and supports 360-degree rotation observation and fabric texture
simulation. The virtual fitting module generates dynamic wrinkles of clothes through
motion capture, and the error is controlled within 150ms. The
system integrates an e-commerce platform and a social sharing function, supports user
preference learning and intelligent reminding, improves the accuracy of
body type measurement, and improves the recommendation matching degree. Through three-dimensional
body shape analysis, dynamic physical
simulation and multi-mode interaction, the garment fitting precision and the user experience are remarkably improved.