Chinese paper-cut generated from human portrait
Kun Dang, Song Guiling, Anlong Ming · 2016
This paper presents a software package that renders artistic paper-cut of human portrait. It is an application software package suitable for the mobile devices, e.g., the iPad. The face fidelity is an essential factor in creating a portrait, while in the traditional algorithms, rendering portrait paper-cut is considerd as an inhomogeneous binarization process. Specifically, the binarization process is inhomogeneous for different facial areas, which always cannot correspond strictly to the grayscale, and lead to the edge being unsmoothed. In order to address this issue and make the portrait more similar to the person shown in a photograph, this paper presents an improved paper-cut algorithm. We first use a dynamic thresholding method to binarize the facial components, such as nose, eyes. Then, the principle of temple matching is employed to find a template for every facial component from a pre-prepared template library, which is closest to the real component. In addition, the software package on the iPad is not a simple migration from that on PC. Compared with the software on PC, our package has a friendly interface and is easier for operating. Experimental results show that we can get a more realistic portrait paper-cut using the package on the iPad.