Detailed wrinkle generation of virtual garments from a single image
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Detailed wrinkle generation of virtual garments from a single image Yuxiang Zhu 1,2,3 & Mingmin Zhang 4 & Yanjun Peng 2 & Arsineh Boodaghian Asl 5 Received: 6 July 2019 / Revised: 16 July 2020 / Accepted: 16 September 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
The presence of proper wrinkles is important while modeling realistic virtual garments. Unlike previously used full 3D information methods, our approach achieves detailed garment generation from a single image. First, we retrieve a garment image similar to the initial virtual garment based on content-based image retrieval (CBIR) method. Then, we preprocess the image with a combination of human body reshaping, image segmentation and shape recovery, to obtain the 3D wrinkle details. Finally, the garment height are synthesized into the virtual garment. For better suit the posture of the human body, excess garment energy are released to remove the unmatched wrinkles. We apply our method to various styles of virtual garments, and it enable virtual characters in general pose to be dressed in these garments and complete wrinkle generation. Compared with existing garment modeling methods, the experimental results show that the proposed method could quickly capture the realistic wrinkles of virtual garments with less manual operation and achieve more realistic wrinkles for virtual garments. Keywords Image processing . Image retrieval . Garment modeling . Wrinkle generation
* Yanjun Peng [email protected]
1
College of Information Engineering, Huanghuai University, Zhumadian 463000 Henan, China
2
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China
3
Henan Provincial Key Laboratory of Smart Lighting, Huanghuai University, Zhumadian 463000 Henan, China
4
College of Computer Science and Technology, Zhejiang University, Hangzhou, China
5
Information System, Karlstad University, Karlstad, Sweden
Multimedia Tools and Applications
1 Introduction Garments that lack wrinkles look unnatural, and modeling of realistic garments is essential for many applications that include virtual characters. However, the details of the garment surface involve nearly continuous collision contact and small wrinkles, which can be troublesome for traditional cloth simulation methods [16]. Garment capture techniques could quickly capture more realistic 3D garment models, while it rely on multi-view stereo or depth camera and is cumbersome to setup [5]. We focus on researching garment simulation and looking for a fast, effective simulation method for realistic garments. And the purpose of this study is to develop a user-friendly virtual garment wrinkle generation method with minimum input. We know that images which carry abundant information are also used in various 3D modeling tasks. Using a single input image, a realistic object model could be obtained with simple interaction. In this study, we retrieve an image that is similar to the initial garment of the virtual character from the ima
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