This paper presents a new approach for modeling a virtual garment intuitively and simply by sketching garment style lines.The user sketches directly onto the surface of 3D virtual human from arbitrary viewing directio...This paper presents a new approach for modeling a virtual garment intuitively and simply by sketching garment style lines.The user sketches directly onto the surface of 3D virtual human from arbitrary viewing directions,and the 3D garment suited to the virtual human can be created automatically.First,a distance field based allocation algorithm is proposed to find the 3D point which has the shortest given distance to the virtual human along the view direction.Then,the 3D style lines are generated by transforming from the 2D strokes on the human model and all the garment pieces are recognized from the 3D style lines.Finally,the 3D garment model is constructed by using the angle and offset based interpolation and Delaunay triangulation.In addition,we propose a body feature based template reusing method to fit the 3D garment to different virtual human models.The method can be adapted to designer habits and improve the usefulness of garment design.Examples show that the method is useful and efficient.展开更多
We propose an automatic garment seam modeling framework to create a garment model with the seam structure from a single image. In order to achieve this, a marked seam image database and parametric seam models have bee...We propose an automatic garment seam modeling framework to create a garment model with the seam structure from a single image. In order to achieve this, a marked seam image database and parametric seam models have been set up. Given a real seam image, we first identify the type of the seam image based on our marked semn image database and the seam parameters are parsed automatically by our sewing thread estimation method. Second the seam initial model is generated through the pre-defined parametric seam models. A garment model with the seam structure is finally obtained based on the seam position infrmation which users have marked on the garment. Moreover. we verify the effectiveness of our method with numerous experiments.展开更多
Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits.However,their development is limited by practical constraints,such as accurate sizing of the bod...Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits.However,their development is limited by practical constraints,such as accurate sizing of the body and realism of demonstrations.We enumerate three open challenges remaining for a complete and easy-to-use try-on system that recent advances in machine learning make increasingly tractable.For each,we describe the problem,introduce state-of-the-art approaches,and provide future directions.展开更多
基金Project supported by the National High-Tech R & D Program (863) of China (No. 2009AA04Z103)the Project of Public Technology Research in Industry (No. 2010C31001)+1 种基金the Research Fund for the Doctoral Program of Higher Education of China (No. 20100101110025)the Natural Science Foundation of Ningbo City,China (No.2010A610117)
文摘This paper presents a new approach for modeling a virtual garment intuitively and simply by sketching garment style lines.The user sketches directly onto the surface of 3D virtual human from arbitrary viewing directions,and the 3D garment suited to the virtual human can be created automatically.First,a distance field based allocation algorithm is proposed to find the 3D point which has the shortest given distance to the virtual human along the view direction.Then,the 3D style lines are generated by transforming from the 2D strokes on the human model and all the garment pieces are recognized from the 3D style lines.Finally,the 3D garment model is constructed by using the angle and offset based interpolation and Delaunay triangulation.In addition,we propose a body feature based template reusing method to fit the 3D garment to different virtual human models.The method can be adapted to designer habits and improve the usefulness of garment design.Examples show that the method is useful and efficient.
基金This work was partially supported by the National Natural Science Foundation of China under Grant Nos. 61532003 and 61421003.
文摘We propose an automatic garment seam modeling framework to create a garment model with the seam structure from a single image. In order to achieve this, a marked seam image database and parametric seam models have been set up. Given a real seam image, we first identify the type of the seam image based on our marked semn image database and the seam parameters are parsed automatically by our sewing thread estimation method. Second the seam initial model is generated through the pre-defined parametric seam models. A garment model with the seam structure is finally obtained based on the seam position infrmation which users have marked on the garment. Moreover. we verify the effectiveness of our method with numerous experiments.
基金This research was supported in part by the Iribe Professorship and the National Science Foundation.
文摘Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits.However,their development is limited by practical constraints,such as accurate sizing of the body and realism of demonstrations.We enumerate three open challenges remaining for a complete and easy-to-use try-on system that recent advances in machine learning make increasingly tractable.For each,we describe the problem,introduce state-of-the-art approaches,and provide future directions.
