A fast garment fitting algorithm using skeleton‐based error metric

Abstract

We present a fast and automatic method to fit a given 3D garment onto a human model with various shapes and poses, without using a reference human model.Our approach uses a novel skeleton-based error metric to find the pose that best fits the input garment. Specifically, we first generate the skeleton of the given human model and its corresponding skinning weights. Then, we iteratively rotate each bone to find its best position to fit the garment. After that, we rig the surface of the human model according to the transformations of the skeleton. Potential penetrations are resolved using collision handling and physically based simulation. Finally, we restore the human model back to the original pose in order to obtain the desired fitting result. Our experiment resultsshow that besides its efficiency and automation, our method is about two orders of magnitudes faster than existing approaches, and it can handle various garments, including jacket, trousers, skirt, a suit of clothing, and even multilayered clothing.

Design and implementation of virtual fitting system based on gesture recognition and clothing transfer algorithm

“…This method is relatively simple, but the fitting function is also very limited. Wu et al 7 made an attempt on virtual fitting based on graphics, adopted ellipsoidal hierarchical structure to approximate the human body model, simulated complex clothing patterns on this basis, and finally obtained the final visual design result through physical simulation. These implementations require a lot of equipment and are not interactive.…”

A generic method of wearable items virtual try-on

“…14 and Wu et al. 19 proposed new error metrics to fit the rigged body into the garment mesh by finding the optimal posture. However, they can work well only if the skeleton is perfectly generated—usually prepared manually.…”

“…Also, Huang et al 18 proposed automatically aligning 3D garment mesh with a target body model through feature points calculation and posture alteration, but this method can only work for the zygomorphic garment mesh, which highly limits its use in many practical applications. To address this problem, Tisserand et al 14 and Wu et al 19 proposed new error metrics to fit the rigged body into the garment mesh by finding the optimal posture. However, they can work well only if the skeleton is perfectly generated-usually prepared manually.…”