پرو مجازی از طریق نگاشت سه‌بعدی همراه با بخش‌بندی مدل سه‌بعدی

محورهای موضوعی : انرژی های تجدیدپذیر

حامد فتحی ¹ , علیرضا احمدی فرد ² , حسین خسروی ³

1 - دانشکده مهندسی برق- دانشگاه صنعتی شاهرود، شاهرود، ایران
2 - دانشکده مهندسی برق- دانشگاه صنعتی شاهرود، شاهرود، ایران
3 - دانشکده مهندسی برق- دانشگاه صنعتی شاهرود، شاهرود، ایران

تاریخ دریافت : 1401/01/27 تاریخ پذیرش : 1401/04/26 تاریخ انتشار : 1403/09/01

کلید واژه: پرو مجازی, نگاشت سه‌بعدی, لاپلاس بلترامی, توصیف‌گر انحنا,

چکیده مقاله :

پرو مجازی یک گزینه مناسب برای صنعت پوشاک آنلاین است. در این مقاله روشی برای ترسیم مدل سه‌بعدی لباس انتخابی بر روی مدل سه‌بعدی مشتری پیشنهاد می‌گردد. برای وصول به این هدف ابر نقاط مشتری و مانکن توسط دوربین کینکت ثبت می‌شود. برای سهولت تطابق، این مدل‌ها با استفاده از توصیف گرهای رویه، به بخش‌های متناظر تقسیم می‌شوند. سپس بخش‌های متناظر از مانکن به مشتری به‌طور جداگانه نگاشت داده می شود. درنهایت، اطلاعات رنگ از ابر نقاط لباس به روی ابر نقاط مشتری انتقال می‌یابد. روش پیشنهادی دو مزیت اصلی نسبت به روش‌های موجود دارد. اول اینکه برای طراحی مدل‌های سه‌بعدی در نرم‌افزارهای گرافیکی نیازی به متخصص نیست. دوم اینکه هر بافت لباسی می‌تواند توسط مشتری انتخاب شود. نتایج آزمایش‌ها نشان‌دهنده توانایی روش پیشنهادی این مقاله در مقایسه با روش‌های موجود است.

چکیده انگلیسی:

Virtual clothing try-on can be a great option for the online clothing industry. In this paper, we propose a method to map the 3D model of selected clothes on the customer's 3D model. For this purpose, the point clouds of the customer and mannequin are captured by the Kinect camera. These models are segmented into corresponding parts using surface descriptors to ease the matching. Then, individual parts of the mannequin are mapped on the corresponding parts of the customer. Finally, the color information from the clothes on the mannequin is transformed to the customer's body point cloud. The proposed method has two main advantages over the existing methods. First, no need for an expert to design 3D models in graphic software. Second, any style and texture of clothes can be chosen by the customer. The results of the experiments show the ability of the proposed method compared to existing methods.

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