Corpus ID: 2037359

L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction

@article{Nie2017L2GSCILT,
  title={L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction},
  author={Yongwei Nie and X. Cao and Chengjiang Long and Ping Li and Guiqing Li},
  journal={ArXiv},
  year={2017},
  volume={abs/1703.01605}
}
Current face alignment algorithms can robustly find a set of landmarks along face contour. However, the landmarks are sparse and lack curve details, especially in chin and cheek areas where a lot of concave-convex bending information exists. In this paper, we propose a local to global seam cutting and integrating algorithm (L2GSCI) to extract continuous and accurate face contour. Our method works in three steps with the help of a rough initial curve. First, we sample small and overlapped… Expand

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