Automatic alignment for virtual fitting using 3D garment stretching and human body relocation

Huang, Luchen; Yang, Ruoyu

doi:10.1007/s00371-016-1236-x

Cited by 12 publications

(14 citation statements)

References 12 publications

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“…However, it cannot handle long and wide skirts, as well as garments that are not held by the torso. It is noteworthy that while the above methods deform the input garment to fit the target human model, our method, along with many other methods, deforms the target human model to fit the garment.…”

Section: Related Workmentioning

confidence: 99%

“…Actually, the pose of the input human model is required to strictly match that of the source human model originally wearing the garment. Huang et al proposed an automatic method to align 3D garment with a human model through feature points calculation and postural alteration, based on the assumption that the garment is zygomorphic and confined to short‐sleeved shirt and trousers. This assumption limits its use in many practical applications.…”

Section: Related Workmentioning

confidence: 99%

“…To address this issue, Li et al removed the need of the reference human model, but their method needs to generate a garment skeleton manually. Later, Huang et al further proposed an automatic method to align 3D garment with a human model without the use of the reference human model. Unfortunately, they can only process zygomorphic short‐sleeved shirt and trousers.…”

Section: Introductionmentioning

confidence: 99%

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A fast garment fitting algorithm using skeleton‐based error metric

Deng

Huang

et al. 2018

Computer Animation & Virtual

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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.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A fast garment fitting algorithm using skeleton‐based error metric

Deng

Huang

et al. 2018

Computer Animation & Virtual

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“…The papers by Lin et al [1] and Giachetti et al [2] are about character body modelling. The two next papers by Huang et al [3] and Zhou et al [4] focus on virtual garment stretching and face generation for virtual characters. The papers by Bao et al [5] and Andersen et al [6] are about hair and fur simulation.…”

Section: Articles In This Issuementioning

confidence: 99%

CGI 2016 Editorial (TVCJ)

2016

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“…Recently, a great number of researchers focused on auto adjustment that automatically adapts to new bodies. Unfortunately, these auto adjustment methods either fail to preserve the original design [5] or make sever penetrations for vastly different body shapes and proportions [6]. In this study, we focus on automatic adjustment design, which could quickly produce realistic garments that fit the proportions of a new wearer while retaining the original design as much as possible.…”

Section: Introductionmentioning

confidence: 99%

Dual Adaptive Adjustment for Customized Garment Pattern

Zhu

Peng

Asl

2019

Scientific Programming

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We present a dual adaptive garment slice adjustment technique for automatic resizing of apparel products with variant body shapes, and this technique can quickly generate clothed characters. Our first contribution is to propose a novel fit evaluation method. When a 2D garment pattern and a 3D draped garment have the same triangle topology connection, we calculate the shape variable of each triangle and output heat map simultaneously. For sewing a pattern to a newly targeted human body, we propose a fully automatic adjustment method that conforms to the body structure and is composed of two stages. In the coarse auto adjustment (CAA) stage, we propose a method of controlling the size of a garment by the length of a bounding box in five parts of the human body. Then, the garment pattern is automatically adjusted using the measured dimension, by stretching or shrinking. In the fine auto adjustment (FAA) stage, boundary vertices control the shape in the adjustment process. For better matching with the body, the vertices of the garment pattern boundary are relocated with the calculated moving distance and moving direction. As demonstrated in the results, our method enables fully automatic adjustment, preserving the original pattern style of garments between characters with vastly body shapes. Compared with the state-of-art 2D editing method, our proposed approach leads to time saving, and it achieves realistic garment effect compared to auto fitting methods.

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Automatic alignment for virtual fitting using 3D garment stretching and human body relocation

Cited by 12 publications

References 12 publications

A fast garment fitting algorithm using skeleton‐based error metric

A fast garment fitting algorithm using skeleton‐based error metric

CGI 2016 Editorial (TVCJ)

Dual Adaptive Adjustment for Customized Garment Pattern

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