Abstract: Systems and methods for automating clothing transactions. The methods comprise: obtaining user input data and/or sensor data specifying characteristics of a body for an individual; transforming the user input data and/or sensor data into a 3D graphical representation of the body; analyzing the 3D graphical representation to derive 3D body measurements for the individual; identifying clothing items based on results from comparing the 3D body measurements to reference measurements associated with clothing items having different styles, sizes and brand associations; analyzing how a fabric elasticity and a garment construction could impact a fit of each identified clothing item relative to each body part of the individual based on the 3D graphical representation of the body; and filtering the clothing items based on results of the analyzing and fit preferences of the individual to generate recommended clothing items for the individual.

Abstract: Systems and methods for generating a refined 3D model. The methods comprise: constructing a subject point cloud using at least optical camera data acquired by scanning a subject; using radar depth data to modify the subject point cloud to represent an occluded portion of the subject's real surface; generating a plurality of reference point clouds using (1) a first 3D model of a plurality of 3D models that represents an object belonging to a general object class or category to which the subject belongs and (2) a plurality of different setting vectors; identifying a first reference point cloud from the plurality of reference point clouds that is a best fit for the subject point cloud; obtaining a setting vector associated with the first reference point cloud; and transforming the first 3D model into the refined 3D model using the setting vector.