In this paper, we propose a new algorithm for simplifying line drawing sketches. First, we segment the strokes at the points of large curvature if desired. Then, we perform a low-pass filter and use the result to assign a weight to every stroke. The strokes are moved to the position of the higher weight. After that, we find the stroke pairs and combine them to reduce the total number of the strokes, resulting in a cleaner line drawing art. This system also cuts down the disordered and confusing small strokes and combines them to form long strokes.
Simulating realistic makeup effects is one of the important research issues in the 3D facial animation and cosmetic industry. Existing approaches based on image processing techniques, such as warping and blending, have been mostly applied to transfer one's makeup to another's. Although these approaches are intuitive and need only makeup images, they have some drawbacks, e.g., distorted shapes and fixed viewing and lighting conditions. In this paper, we propose an integrated approach, which combines the Kubelka-Munk model and a screen-space skin rendering approach, to simulate 3D makeup effects. The Kubelka-Munk model is used to compute total transmittance when light passes through cosmetic layers, while the screen-space translucent rendering approach simulates the subsurface scattering effects inside human skin. The parameters of Kubelka-Munk model are obtained by measuring the optical properties of different cosmetic materials, such as foundations, blushes and lipsticks. Our results demonstrate that the proposed approach is able to render realistic cosmetic effects on human facial models and different cosmetic materials and styles can be flexibly applied and simulated in real time.
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