Revisiting spectral clustering for near-convex decomposition of 2D shape

作者：

Highlights：

• Near-convex 2D shape decomposition by recursive spectral clustering is designed.

• A flexible stopping rule for the recursive decomposition process is proposed.

• A novel shape signature named visible protrusion strength is presented.

摘要

•Near-convex 2D shape decomposition by recursive spectral clustering is designed.•A flexible stopping rule for the recursive decomposition process is proposed.•A novel shape signature named visible protrusion strength is presented.

论文关键词：Convex decomposition,Visibility,Shape signature,Spectral graph cut

论文评审过程：Received 2 September 2019, Revised 15 January 2020, Accepted 10 April 2020, Available online 25 April 2020, Version of Record 3 May 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107371