Virtual Garment Resizing and Capturing Based on the Parametrized Draft

Abstract

This dissertation presents novel frameworks for virtual garment resizing and capturing. In the clothing industry, ready-to-wear apparel is designed from standard body, and then it is resized to fit specific body. The resizing job is called grading. Grading requires specialized tailoring techniques and extremely time. We suggest fast and simple grading technique for virtual clothing. For generating virtual garment according to real garment, pattern designing and modeling knowledge are demanded. We propose a method which converts from real garment into virtual garment. There are in need of the virtual clothes grading and modeling methods in the animation and game productions, since costume design takes an important component in the process. To perform grading job, we introduced retargeting technique which is widely utilized in the computer graphics field. Retargeting technique demands the mediator and the correspondence function. For the mediator of our method, we got the insight from the process of drawing the pattern-making draft. Noting that the draft can be completely determined by supplying the primary body sizes and the garment type, we implemented a computer module which performs the draft construction process. The module is called the parameterized draft module. Barycentric coordinates system is a reasonable method for making correspondence between garment drafts and panels on 2D. Among others, the Mean Value Coordinates (MVC) would be an excellent choice. We call this grading method Draft-space Warping. The proposed grading method can be performed instantly for any given body without calling for the user intervention. Our approach can minimize designers specialized know-how and save performing time for the grading of real and virtual clothes. Also we suggest compensation techniques to improve the quality of grading. With experimental results, we show that the new grading framework can bring an improvement to garment grading. Also, we investigated a method which can create the virtual garment from a single photograph of a real garment put on to the mannequin. Similar as our resizing method, we used pattern drafting theory in solving this problem. We utilize parameterized draft module which was introduced in draft-space warping. Then the capturing problem is reduced to find out the garment type and primary body sizes. We determine that information by analyzing the silhouette of the garment with respect to the mannequin. The method works robustly and produces practically usable virtual clothes which can be used for the graphical coordination. Both methods are devised based on the pattern-making draft. Since proposed methods perform resizing and modeling jobs on 2D, we reduce computation time for the jobs. Although, we can get the plausible results.